eneuro

Forelimb reaching tasks are widely used in neuroscience across species. In mice, pellet reaching is especially useful because it requires fine motor control. However, few automated pellet-delivery systems are well suited for head-restrained reaching, where pellet position must be highly consistent. Here we present a complete pipeline for head-restrained, or head-fixed, forelimb reaching in mice. The pipeline includes a simple customizable pellet-presentation rig, an effective training protocol, and analysis code to detect reaches and classify their outcomes. To demonstrate pipeline utility, we quantified interruption of an ongoing reach. The temporal requirement for initiating cancellation was dependent on the phase of the reach, lengthening significantly as the reach neared completion. These results show that the pipeline can resolve fine phase-dependent features of skilled behavior and provide a practical framework for studying motor control in head-restrained mice.

The dorsal midbrain tegmentum, including the dorsal raphe nucleus (DRN) and the ventrolateral periaqueductal gray (vlPAG), contains diverse neuronal populations. Within this region, serotonin (5-HT) and dopamine (DA) neurons are the principal monoaminergic cell types and exert widespread influence on brain circuits. While the role of 5-HT and DA neurons in sensory integration is well established, their stimulus-driven spiking activity remains incompletely characterized. Using silicon probe recordings in mice, we found that >57% of DRN/vlPAG neurons responded to foot shock and mechanical stimulation, whereas <15% showed changes in spiking activity following light or acoustic stimulation. At the population level, similar results were obtained using juxtacellular recordings, a method that allowed post hoc identification of 5-HT and DA neurons. Upon foot shock delivery, 5-HT neurons exhibited heterogeneous responses, including both excitation and inhibition, whereas DA neurons typically increased their firing rates. We found that DA neurons lacking vasoactive intestinal polypeptide (VIP) fired within the first second after foot shocks, while VIP-expressing DA neurons were most active later. Together, our results demonstrate that DRN/vlPAG neurons are most responsive to foot shock and mechanical stimuli. Moreover, 5-HT and DA neurons exhibit distinct patterns of activation following aversive inputs, suggesting that they play different roles in sensory information processing.

Dopamine (DA) is important in many fundamental behaviors, including positive and negative reinforcement, incentive salience, and decision-making. This behavioral diversity is now known to be due, in part, to neurotransmitter diversity, based on rodent models. To address DA neuron transmitter properties in higher species, we examined the ventral midbrain in 5 young macaques (3 male, 2 females, 3-6 years) using RNAscope in situ hybridization for tyrosine hydroxylase (TH), vesicular glutamate transporter 2 (VGluT2) and glutamic acid dehydroxylase 1 (GAD1) across the A10 (VTA; midline VTA nuclei and parabrachial nucleus; PBP), the A9 (substantia nigra, pars compact, SNc) and the A8 (retrorubral field, RRF) subregions. We followed up with immunocytochemical studies in the same cohort to infer extent of mRNA and protein matches. There were 7 mRNA phenotypes, with TH-mRNA containing cells forming the largest proportions of all neurons, as expected. Surprisingly, multiplexed TH+ neurons were much more frequent than TH-single labeled neurons overall (TH-VGluT2, 22% and TH-VGluT2-GAD1, 23% compared to TH-single labeled neurons, 19%). GAD1 mRNA co-expression mainly occurred in triple labeled cells, i.e. those with VGluT2- and TH mRNA expression. VGluT2 mRNA single-labeled neurons represented only 8%, and GAD1 mRNA single-labeled neurons comprised 20%, of the total population. Proportions of cellular phenotypes were similar across the A10-A9-A8 subregions. Most DA neurons in the young macaque contain multiple transmitters, indicating an important role for fast synaptic transmission alongside dopaminergic transmission in all subregions. We discuss the developmental and circuit implications of these findings in higher primates.

The rostral nucleus of the solitary tract (rNST) is the initial central site for taste processing. This nucleus has a complex circuitry and multiple cell types with different response properties, connectivity, and morphology (Travers and Travers 2018). However, unlike its visceral counterpart, the caudal NST, neurochemical phenotypes in rNST are poorly defined. Recent studies have begun to probe this gap. Based on fiber photometry, optogenetics, and cell-type specific deletion. For example, one group proposed that somatostatin (SST) rNST neurons, neither calbindin or dynorphin cells, responded specifically to bitter stimuli and that these neurons were necessary for suppression of quinine-induced licking (Jin, Fishman et al. 2021) (Zhang, Jin et al. 2019). The present study employed in situ hybridization, optotagging, and chemogenetic suppression in male and female mice to demonstrate that SST neuron function is more complex. Although most SST neurons responded optimally to bitter stimuli, many others were activated by different qualities and some non-SST neurons responded to bitter tastants. Moreover, roughly equal proportions of SST neurons expressed excitatory (VGLUT2) or inhibitory (VGAT) markers. Suppressing SST neural activity with DREADDS enhanced licking to both quinine and sucrose suggesting that neural activity elicited by the aversive bitter stimulus was suppressed whereas licking elicited by the sweet, preferred stimulus was increased. We hypothesize that these effects arise from suppressing excitatory quinine-responsive SST neurons but that a separate population of inhibitory SST neurons synapse on sucrose-responsive cells. Significance StatementRecent studies have revealed molecular heterogeneity of gustatory system neurons. However, it is unclear whether molecularly-distinct cells are associated with specific roles. The current study investigated somatostatin (SST) neurons in rNST, the first central hub for taste processing. Well over half were inhibitory, expressing VGAT, but a substantial proportion were excitatory, expressing VGLUT2. A narrow majority responded optimally to the bitter quality and none to NaCl, but other SST cells responded most vigorously to sweet, umami, or sour stimuli. Subsets of neurons not expressing SST responded best to each quality, including bitter. Suppressing activity in SST neurons dampened behavioral avoidance to quinine but enhanced consummatory responses to sucrose. Thus, SST rNST neurons exhibited varied functional characteristics but also clear distinctiveness.

GapAutomated spike sorting algorithms have revolutionized the way neuronal activity is extracted from extracellular recordings, yet they remain imperfect. Specifically, inaccurate acceptance of noise-based units not only leaves researchers with clusters that require extensive manual curation, an essential but time-consuming process, that also leads to significant subjectivity in the selection of units. In an era of high-density probes like Neuropixels, where an hour of data can exceed 80 GB, manual curation is no longer scalable, automation of standard criteria can speed data curation and ensure quality of datasets. Here, we developed a semi-automated curation pipeline to label the quality of units after automated curation by Kilosort. ApproachOur algorithm standardizes criteria for labeling of Noise, Multi-Unit Activity (MUA), and Good Units using a combination of spike rate, spike timing metrics (from autocorrelogram), and waveform-based physiological features such as peak amplitude, slopes, half-width, and inter-channel correlation. Based on these features, clusters are assigned standardized labels (good, noise, multi-unit activity) that can be imported directly into Phy, where they serve as curation aids rather than absolute classifications, supporting but not replacing expert judgment. Heuristically, "noise" units are those unlikely to be neuronal in origin; "MUA" includes units with significant neural contribution (i.e., neuronal waveform) but with some degree of clear imperfection to be further cleaned, and "good" units are those without any clear deviation from ideal unit criteria. By ensuring accurate selection of acceptable units, we enable robust downstream analyses such as neural decoding and longitudinal tracking of neuron identity. Thresholds for all metrics were chosen to maximize the matching of algorithm output to that of 2 expert manual curators. Of note, users may alter thresholds either based on their own judgment or using an included tool to semi-automatically find thresholds that optimize SpikeCleaner with their own expert curation. Results: To benchmark, we compared the outputs of our algorithm to expert-labels curated in Phy by two expert users across three recordings. SpikeCleaner achieved an average of 97% accuracy vs. experts & 92% F1 score in classifying Single Units. It achieved an accuracy of 97% & 92% F1 score in full-category agreement (SU, MUA, Noise), and 97% accuracy & 95% F1 score in distinguishing Neuronal vs. Non-Neuronal units.

Scientific progress depends on the analysis of primary data, yet the small, domain-specific programs that perform most scientific analyses are typically poorly documented, narrowly tested, and difficult to reuse outside the lab that created them. General-purpose pipeline tools address the problem of running steps in order but do not enforce documentation, testing, or standardized outputs. We describe a motif for building domain-specific analysis applets, which we call calculators, that constrains developer choices in order to produce code that is readable, tested, and reusable almost as a byproduct of following the template. Calculators operate on a typed, searchable database of documents, eliminating the need to explicitly wire inputs and outputs together; instead, each calculator searches the database for documents it can operate on and adds its results as new typed documents. Calculators must provide documentation in a standard location, self-tests that can be run and inspected interactively, adjustable input parameters, a single well-defined output document type, and a default plotting method. Sets of calculators compose naturally into pipelines whose outputs satisfy FAIR principles at every stage. We demonstrate the motif by implementing calculators for common analyses in vision science, including orientation and direction selectivity, contrast tuning, spatial and temporal frequency tuning, speed tuning, and Hartley reverse correlation. These calculators have been used in published work and are in active use across collaborating laboratories. We discuss the design principles of the motif, its advantages and limitations, and its applicability to domain-specific computation across neuroscience and beyond. Significance StatementScientists often must write small programs to analyze their own data. These programs are usually poorly documented, lightly tested, and hard for other labs to reuse. Mistakes in this kind of code have even caused well-known papers to be retracted. We describe a simple pattern for writing these programs, which we call a calculator. The pattern requires the programmer to include clear documentation, built-in tests, adjustable settings, and a standard form of output. Calculators work by searching a shared database for data they know how to handle, so many calculators can be chained together into a pipeline without extra setup. We show how this works by building calculators for common visual neuroscience analyses that other labs are already using.

Activity of the mesolimbic dopamine system has long been implicated in encoding primary rewards and contributing to the addictive properties of drugs of abuse. Dopamine neurons in the ventral tegmental area (VTADA) of the midbrain typically show patterns of spontaneous burst activity that align with the onset of salient events or rewarding stimuli, resulting in phasic dopamine release in the nucleus accumbens (NAc). Fiber photometry is increasingly being used as an accessible technique to quantify neural activity with high temporal resolution at sensors offering signal specificity in stable recordings over extended periods of time. It has been well established by multiple techniques that opioids increase mesolimbic dopamine activity, likely through disinhibition of VTADA neurons. Here we used fiber photometry to compare sub-second transient events from VTADA neurons with GCaMP6f and dopamine release in the lateral shell of the NAc with dLight1.3b and GRABDA2h in response to morphine treatment. In weekly sessions, one dose of morphine was administered in escalating order (2.5, 5,7.5, and 10 mg/kg, intraperitoneal). Consistent with prior literature, both GCaMP6f in VTADA neurons and dLight1.3b in NAc showed patterns of increased signal following morphine treatment. In contrast, morphine suppressed transient activity at GRABDA2h sensors. Further analyses of whole signal streams from each sensor showed a generalized increase, but reduction in variability of the GRABDA2h signal, consistent with the interpretation of sensor saturation. Such results emphasize the importance of the inclusion of appropriate controls to contextualize the interpretation of biosensor responses, particularly in response to pharmacological treatment. HIGHLIGHTSO_LIMorphine elicited increased signaling in VTADA GCaMP6f and NAc dLight1.3b, consistent with prior literature C_LIO_LIMorphine suppressed NAc GRABDA2h signaling of transient events, suggesting saturation of GRABDA2h sensor C_LIO_LISensor validation with pharmacological challenges is critical for interpretation of data C_LI

Studies of visual discrimination in rodents can confound the effects of cue salience with reward value, making it difficult to determine which factor guides choice behavior. We examined this issue by testing how changes in relative salience affect decision dynamics in rats performing a two-alternative forced-choice task in which rats chose between visual cues associated with high or low sucrose rewards. After initial training with high and low luminance cues, we introduced a novel cue of intermediate luminance as a "luminance shift" test. The intermediate luminance cue substituted for either the brighter or dimmer cue and had the same reward value as the cue that it replaced. We found that while rats maintained a preference for the higher-value option, the introduction of a perceptually more similar cue consistently reduced choice preference and eliminated latency differences compared to baseline. Using drift diffusion modeling, we determined that the luminance shifts primarily caused a reduction in the drift rate (the speed of evidence accumulation), reflecting increased difficulty in cue discrimination. This finding suggests that the relative salience of the options determines the efficiency of evidence accumulation in value-based decisions. Furthermore, this effect on drift rate shows a dissociation from our previous work (Palmer et al., 2024), where prefrontal cortex inactivation specifically affected only the decision threshold. Our results demonstrate that relative salience influences deliberation, with low-level perceptual features shaping the computational dynamics of value-based choice. Our findings clarify the distinct contributions of sensory input and prefrontal function in the decision process. Significance StatementThis study reveals that changes in the relative salience of visual stimuli shape the computational dynamics of value-based decisions. We trained rats to make visually guided choices and found that relative differences in the brightness of the stimuli affect how quickly the rats made decisions and how often they chose a higher-value option. Our findings, together with a recent study on the role of the prefrontal cortex in value-guided decisions (Palmer et al., 2024), suggest that separate factors influence choice dynamics in rodents: visual salience affects the speed of deliberation, while prefrontal activity regulates caution. This study helps clarify how sensory and higher cognitive variables relate to the distinct computational components of the decision process.

AO_SCPLOWBSTRACTC_SCPLOWOpioid withdrawal produces a protracted aversive state that is a driving factor towards relapse for patients with opioid use disorder. The habenula is known to mediate symptoms of withdrawal across several substance use disorders, including alcohol, nicotine, and opioid use disorder. However, it is unclear which habenular populations contribute to withdrawal symptoms. Here, we identify a cell type marker for habenular neurons active during opioid withdrawal. Using immediate early gene analysis, we find that glutamic acid decarboxylase 2-expressing (GAD2+) cells in the lateral habenula (LHbGAD2) increase activity in response to both spontaneous and naloxone-precipitated opioid withdrawal in mice. Recording neural activity in vivo revealed transient activity at the presentation of aversive stimuli, and a sustained increase in activity during aversive states such as opioid withdrawal and inescapable shock. These results highlight the cell type heterogeneity of the habenula, and the role of specific cell types in opioid withdrawal.

Exercise broadly affects the basal ganglia, brain structures involved in motor coordination. Exercise-induced changes in these regions can improve pathological conditions such as Parkinsons disease and substance use disorders. Importantly, biological sex is a significant factor in the effects of exercise and in the presentation of these basal ganglia-related conditions. Here, we find surprising sex differences in exercises influence over motor coordination and neural activity across three extended basal ganglia structures: dorsomedial striatum cholinergic interneurons (CINs), substantia nigra pars compacta (SNc) dopaminergic neurons, and caudal pedunculopontine nucleus (PPN) cholinergic neurons. Using voluntary wheel running, accelerating rotarod, ex vivo electrophysiology, and morphological reconstructions, we found that exercise enhances motor coordination, increases SNc excitability, and strengthens excitatory input onto the PPN selectively in female mice. By contrast, exercise increases spontaneous firing rate and reduces dendritic complexity selectively in male CINs. These data reveal sex-specific exercise effects correlated across behavioral and cellular levels. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=192 SRC="FIGDIR/small/720719v1_ufig1.gif" ALT="Figure 1"> View larger version (57K): org.highwire.dtl.DTLVardef@d0f755org.highwire.dtl.DTLVardef@11e2335org.highwire.dtl.DTLVardef@199a591org.highwire.dtl.DTLVardef@44e4d9_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIOne week of exercise enhances motor coordination in females but not males C_LIO_LIExercise increases SNc excitability and excitatory input onto the PPN in females C_LIO_LIExercise increases dorsomedial striatal cholinergic neurons activity in males C_LIO_LIBaseline sex differences in morphology of striatal cholinergic and SNc neurons C_LI

Sympathetic preganglionic neurons (SPNs) provide the final pathway through which the central nervous system regulates autonomic function. SPN axons projecting to paravertebral sympathetic chain ganglia branch extensively and diverge across multiple segments, enabling amplification of central sympathetic commands through extensive postganglionic neuronal populations. Spike propagation along these projections has generally been assumed to occur reliably. However, most SPN axons are extremely small unmyelinated fibers, a structural feature predicted to reduce the safety factor for spike propagation. Using an isolated mouse thoracic sympathetic chain preparation, we combined anatomical tracing with multi-site compound action potential recordings to assess conduction across SPN axons. Neurobiotin labeling revealed widespread rostrocaudal divergence through interganglionic nerves, while axon measurements confirmed that most SPN axons are small unmyelinated fibers. Across preparations, supramaximal recruitment of SPNs revealed substantial intertrial variability in compound responses, indicating frequent conduction failures. Failures were most prominent in slow-conducting axons and occurred in both branching interganglionic pathways and the unbranching axons within the splanchnic nerve. During repetitive activation, frequency dependent depression was observed at 1, 5 and 10Hz, but only slow-conducting branching axons exhibited pronounced depression. Overall, these findings indicate that spike propagation in SPN axons may operate probabilistically rather than deterministically, with reliability strongly dependent on axonal subtype and recent activity history. We conclude that axonal conduction variability constitutes an intrinsic and dynamically regulated mechanism that shapes sympathetic output. By varying the recruitment of postganglionic populations, unreliable spike propagation in SPN axons introduces a previously unrecognized presynaptic gain-control mechanism, operating independently of central spike generation to modulate sympathetic output. SIGNIFICANCESympathetic preganglionic neurons provide the final pathway through which the central nervous system controls end-organs. These neurons project through the sympathetic chain where their axons branch extensively to recruit more numerous paravertebral postganglionic neurons. Spike propagation along these projections has generally been assumed to occur reliably. Here we show that this assumption is incorrect. Using anatomical tracing and electrophysiological recordings in mouse sympathetic chain preparations, we demonstrate that spike conduction in sympathetic preganglionic axons is frequently variable and prone to failure, particularly in the slowest-conducting unmyelinated fibers. Conduction variability was preferentially enhanced in branching axonal pathways during repetitive activation. These findings reveal that axonal conduction reliability represents an important presynaptic mechanism regulating the magnitude and variability of sympathetic output.

The rodent accessory olfactory system (AOS) detects chemosignals emitted by conspecifics and other species to support beneficial behaviors. Peripheral vomeronasal sensory neurons (VSNs), the AOS chemical sensors, detect fecal bile acids in patterns that have unknown significance to the animal. We used a combination of mass spectrometry and VSN calcium imaging to investigate the AOS capacity to use bile acid information to discriminate between fecal samples from captive reptiles and mice with varying gut microbiome states. Mass spectrometry analysis revealed bile acid patterns that distinguished biologically relevant samples from one another, representing theoretical discrimination axes. We measured VSN response patterns to bile acid stimuli aligned with theoretical discrimination axes. We found that VSNs perform stimulus "whitening" via an inverse relationship between natural bile acid abundance and population response magnitude. VSNs showed maximum sensitivity to taurine-conjugated bile acids, which have high theoretical discriminatory value, but were found at low natural abundance levels. Individual taurine-conjugated bile acids drove threat assessment behavior when added to familiar mouse fecal extracts, suggesting high behavioral significance. Finally, we analyzed the degree to which the AOS utilizes the theoretical information about species, diet, and gut microbiome status from bile acids. We found that VSN tuning patterns align with theoretical axes for discriminating reptilian predators from vegetarians, and between mice with different gut microbiome states. VSN tuning was especially well-aligned with the information available about conspecific gut microbiome status. These results show that AOS bile acid chemosensation supports discrimination of multiple biologically relevant states. Short abstractThe rodent accessory olfactory system (AOS) detects fecal bile acids via combinatorial codes with unknown biological significance. We investigated whether AOS bile acid chemosensation supports species and gut microbiome evaluation using mass spectrometry, calcium imaging in vomeronasal sensory neurons (VSNs), and analytical modeling. Bile acid excretion patterns theoretically supported discrimination of reptilian predators from vegetarians, and germ-free mice from conventionally raised counterparts. VSNs demonstrated stimulus "whitening" via an inverse relationship between natural bile acid abundance and population response magnitude. VSNs had highest sensitivity to taurine-conjugated bile acids, a novel class of chemosignals that elicited behavioral aversion. VSN tuning aligned with ideal discrimination axes, which was especially strong for gut microbiome-associated bile acid abundance patterns. These results show that AOS bile acid chemosensation supports discrimination of multiple biologically relevant states.

P/Q-type calcium channel (Cav2.1) is the major channel that mediates Ca2+ influx during action potentials (APs) and evokes neurotransmitter release from presynaptic terminals. Repetitive activity induces its Ca2+-dependent facilitation (CDF) via binding of calmodulin (CaM) superfamily proteins to the IQ-like motif, specifically isoleucine (I) and methionine (M) sites, on the cytoplasmic c-terminus of Cav2.1. However, whether and how CDF contributes to short-term synaptic plasticity remains elusive. By recordings from the calyx of Held terminal in IQ-like motif point mutation knock-in mice (Cav2.1 IM-AA KI), we found that activity-dependent CDF is completely abolished, resulting in lower quantal output and shorter release time course as well as profound reductions in the magnitute of short-term facilitation and depression (STF and STD) in different Ca2+ concentrations. Prolonging deactivation of Ca2+ channels by broadening spike width normalizes quantal output and release time course in Cav2.1 IM-AA synapses, but does not fully rescue STF/STD. These results indicate that CDF of Cav2.1 channels governs the polarity and magnitude of short-term synaptic plasticity in fast-spiking central synapses.

Calibration of sound localization behavior in species with mobile eyes requires not only accurate visual input but also accurate oculomotor signals across the lifespan. The recent discovery of eye movement-related eardrum oscillations suggest that oculomotor signals may be incorporated into auditory processing at the level of the ear. One inference of this discovery is that individual variation in such signals might be correlated with individual variation in sound localization accuracy. Here, we tested this hypothesis in humans with normal hearing. We discovered that there is considerable variation in the accuracy of sound localization (here, saccades to sounds) even in normal individuals: median horizontal errors ranged from 2-6{degrees}, and median vertical errors could be as large as 36{degrees}. We separated the subject pool into groups with "good" performance (median vectorial error < 8{degrees}) vs "poor" performance (median vectorial error > 10{degrees}) and evaluated their respective EMREOs. The EMREOs differed across the two groups in both horizontal and vertical dimensions, in how saccade amplitude vs. initial eye position was encoded, and across time with respect to the saccade. These results are consistent with the interpretation that EMREOs are associated with underlying processes that ensure the accuracy of sound localization. HIGHLIGHTSO_LIThe accuracy of eye movements to look at sounds varied across individuals, with median errors spanning a greater than 10-fold range. This range is surprising given that the participants passed screening for normal hearing. C_LIO_LI"Good" vs "poor" sound localizers exhibited differences in their eye movement-related eardrum oscillations (EMREOs) C_LIO_LIEMREOs differed in both horizontal and vertical sensitivity, for both saccade amplitude and initial eye position, and the differences varied in timing with respect to saccade onset. C_LIO_LIWe interpret the results under the theory that poor sound localization may be a consequence of poor eye movement encoding, without which linking visual and auditory space is likely inaccurate. C_LI

The addictive properties of opioids are due in part to these drugs ability to alter ventral tegmental area (VTA) activity via activation of mu opioid receptors (MORs) on local and distal inputs. Prior studies have identified numerous opioid-modulated afferents to the VTA, some of which show differing levels of functional modulation by opioids, but the degree to which this parallels differences in receptor expression is not known. Hence, we used retrograde labeling combined with RNAscope to examine oprm1 mRNA expression in VTA-projecting afferents arising from a variety of distal brain regions. Because opioids are thought to be particularly influential on GABAergic afferents to the VTA, we also examined colocalization of oprm1 with GABAergic markers in VTA-projecting neurons. Interestingly, we found that oprm1 mRNA is present in both GABAergic and non-GABAergic VTA-projecting neurons. However, many (though not all) GABAergic afferents expressed higher levels of oprm1 compared to most non-GABAergic afferents (especially those arising from the cortex). These results complement previous anatomical studies that had examined oprm1 expression in these regions but in a non-quantitative way and without regard to their efferent targets. Our findings encourage future work to examine the functional implications of MOR sensitivity within these afferent pathways.

The cerebellar nuclei form the main output structures of the cerebellum and are composed of a deeply conserved set of cell types. Two excitatory cell classes, Class-A and -B, are present in each cerebellar nucleus and mediate all excitatory output of the cerebellum. To provide genetic access to these cell types, here we identified Acan as a marker gene for Class-B cells and generated a knock-in Acan-P2A-Cre mouse line. We demonstrate that this Acan-Cre line selectively labels Class-B neurons in the cerebellar nuclei and validate its use in viral projection tracing. This new mouse line provides a valuable genetic tool to study cerebellar nuclei organization and function.

We investigated the dimensions of output zones affecting specific combinations of forelimb muscles in the precentral "motor" cortex of macaque monkeys. Single-pulse intracortical microstimulation (S-ICMS) was used to evoke subthreshold effects in multiple wrist and finger muscles. Results indicate that each motor cortex site represents a different combination of muscles. The effects evoked from cortical sites separated by several hundred microns invariably involved different profiles of muscle activity. The muscle fields of remote CM cells were rarely identical, while the fields of neighboring CM cells were often similar. Given the number of unrecorded muscles, we conclude that primate motor cortex is a mosaic of output sites representing forelimb muscles in different combinations.

An important paradigm to study executive function is interval timing, which requires participants to estimate a temporal interval, often with a motor response. Interval timing translates from rodents to humans and can model neurodegenerative and neuropsychiatric disease. Interval timing also has parallel, time-dependent neurophysiology in rodents and humans, including time-dependent linear changes in neuronal firing rates over a temporal interval (ramping activity) and low-frequency [~]4 Hz "theta" activity evoked by trial start and response. Despite these translational features, an important confound of interval timing is movement and motor preparation, as participants must report their estimates by planning a movement. To address this confound, we first trained a group of 7 mice in a freely-moving interval timing task in which mice had to move across an operant chamber and nosepoke at the correct time to receive food reward. These mice were then trained in a head-fixed version of interval timing in which mice receive liquid reward for holding still for 3 seconds at the correct location, with reward access randomized to probe interval timing behavior. Despite vastly different motor sequences, we found prominent ramping activity in mouse prefrontal cortex ensembles and prefrontal cortical [~]4 Hz activity evoked both by trial start and preceding the timed decision. These data provide evidence that prefrontal neuronal ramping and theta activity is not linked to a specific motor program but rather a feature of the temporal organization of behavior.

Engineering controllers solve musculoskeletal reaching but typically violate the kinematic invariants of human reach: bell-shaped speed profiles, near-straight paths, and a peak-velocity time at 40-50 % of movement duration. For the MyoSuite myoArm (20-DoF, 34 Hill-type muscles) we implement a biologically motivated controller combining (i) Feldmans {lambda}-equilibrium-point hypothesis, (ii) a minimum-jerk virtual trajectory{lambda} (t), (iii) a 200 ms visuomotor correction, and (iv) {gamma}-compatible spinal reflexes (Ia, Ib, reciprocal inhibition). Across n = 50 randomised targets the full controller is practically equivalent to an endpoint-PD + spinal baseline (Cartesian PD descending command paired with the same spinal reflex layer; see [&#167;]2.6) on minimum tip error (Cohens d = +0.03; paired Wilcoxon detects only a +10.6 mm residual against a {approx} 100 mm absolute error, well within a pre-defined {+/-}20 mm equivalence margin) while halving peak speed (1.78 vs 3.90 m s-1, d = -7.39, p < 10-15) and reducing jerk by 40 % (d = -1.74). Only the variant with stretch reflexes brings the velocity-peak ratio into the canonical human range (0.40-0.50). Straightness stays below the human reference, so we frame the result as a partial reproduction of the bell-shape and smoothness invariants, not full human-like reach. A factorial ablation (n = 20) decomposes the contributions: virtual trajectory primarily controls smoothness, visuomotor feedback primarily controls accuracy, and reflexes primarily control velocity-peak timing, with two quantifiable secondary effects reported explicitly. An attempted online cerebellar correction in joint or {lambda} space did not improve performance, consistent with -- but not by itself demonstrating -- the cerebellum as a slow inverse-model learner rather than a within-trial steering controller. We release a deterministic_reset patch for a seeding bug in the MyoSuite reach environments (in the versions tested). The result is mechanistic rather than task-optimal: it attributes separable kinematic axes to distinct biological control layers in a 34-muscle arm.

Long-term fiber photometry enables measurement of neural dynamics across hours to days, but these recordings create analytical and reproducibility challenges that are not well addressed by tools developed for short, stimulus-locked experiments. Here we present a software environment for long-term photometry analysis organized around a structured, revisitable workflow for run execution, inspection, and post-run refinement. The software separates correction retuning from downstream event reanalysis, allowing both signal correction and event-analysis settings to be revised after the initial run. We show that correction choice can substantially change the corrected signal itself and that post-run reanalysis can revise event-detection outcomes. The software also preserves tonic and phasic outputs and supports inspection of the same recording at both multiday and session-level scales. Together, these capabilities provide a practical workflow for more interpretable, revisitable, and reproducible analysis of long-term photometry recordings.