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…and stopped at any point in the cycle while posture is preserved? Since conventional models of spinal motor function rely on alternation between flexor and extensor modules, which are limited to just two phases, this question exposes the essential shortcoming of the conventional understanding: How ca

Wed, Mar 25, 2026 · 15:00 UTC

Seminar · Neuroscience

Deep feedforward and recurrent networks have become popular choices for models of neural computation, but they do not provide a clear link to the details of the underlying biophysical processes. Here we argue that the reason this link has been difficult to establish is because biological circuits operate in a fundamentally different way. To illustrate this, we present a new theory of neural computation in excitatory-inhibitory spiking networks, which captures the precise computational role of each neuron and every spike. By assuming low-rank recurrent connectivity, we show that spiking populat

ePoster · Computational Neuroscience