Topic: neuronal computation

Christof Koch discusses the physical principles behind neuronal computation, from membrane dynamics to the integration of incoming signals.

Dendrites play a central role in neuronal computation, and many complex mechanisms shape their structure, function, and connectivity. Dendrites can undergo plastic changes during development and learning, as well as during neurodevelopmental and neurodegenerative disease. We will discuss how the molecular and electrophysiological properties of dendrites enable them to perform complex computations important for sensory-motor processing and higher cognitive function, and how these can go awry.

Nonlinear rate-based models, such as stabilized supralinear networks (SSNs), have been crucial in explaining key aspects of cortical dynamics, including the nonlinear integration of visual inputs and the modulation of response variability. Yet, the absence of spike-based signals in these frameworks has hindered the study of millisecond-scale interactions between pairs of neurons, which have been shown to drive synaptic plasticity. For instance, spike-timing dependent plasticity (STDP), a phenomenological description of long-term synaptic plasticity, can shape neural circuits based on spike-bas