A ternary neural code resolves error and sharpening signals
Naud, R.; Wang, X.; Friedenberger, Z.; Shin, J. N.; Beique, J.-C.; Larkum, M.; Doron, G.
Show abstract
Theories of attention and learning have hypothesized a central role for high-frequency bursting in cognitive functions, but experimental reports of burst-mediated representations in vivo have been limited. Here we used a novel demultiplexing approach by considering a conjunctive burst code. We studied this code in vivo while animals learned to report direct electrical stimulation of the somatosensory cortex and found two acquired yet independent representations. One code, the event rate, showed a sparse and succint stiumulus representation and a small modulation upon detection errors. The other code, the burst fraction, correlated more globally with stimulation and more promptly responded to detection errors. Bursting modulation was potent and its time course evolved, even in cells that were considered unresponsive based on the firing rate. During the later stages of training, this modulation in bursting happened earlier, gradually aligning temporally with the representation in event rate. The alignment of bursting and event rate modulation sharpened the firing rate response, and was strongly associated behavioral accuracy. Thus a fine-grained separation of spike timing patterns reveals two signals that accompany stimulus representations: an error signal that can be essential to guide learning and a sharpening signal that could implement attention mechanisms.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Bidirectional synaptic plasticity rapidly modifies hippocampal representations 96%
- Oscillations support short latency co-firing of neurons during human episodic memory formation. 96%
- Interneuron Specific Gamma Synchronization Indexes Cue Uncertainty and Prediction Errors in Lateral Prefrontal and Anterior Cingulate Cortex 96%
Similar papers in this journal
- Causal adaptation to visual input dynamics governs the development of complex cells in V1 97%
- Brain-machine interface learning is facilitated by specific patterning of distributed cortical feedback 96%
- A critical role for CaMKII in behavioral timescale synaptic plasticity in hippocampal CA1 pyramidal neurons. 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.