Skip to contentSkip to filters

We use cookies for analytics.

Topic: Probabilistic Skeleton

ePoster
1 ePoster

In Applied Mathematics and Computational Neuroscience

ePoster · Computational Neuroscience

A new framework for modeling innate capabilities in network with diverse types of spiking neurons: Probabilistic Skeleton

Christoph Stöckl, Dominik Lang, Alice Dauphin, Wolfgang Maass · Bernstein Conference 2024

Animals possess complex innate computational capabilities essential for their survival, such as recognizing poisonous food or walking right after birth. However, specifying the precise wiring diagram for neuronal circuits to achieve these behaviors is too complex to be compressed through the "genomic bottleneck" [3]. Experimental data on cortical microcircuits [1][2] suggest that the genetic code determines synaptic connection probabilities between neurons based on their genetic types and spatial distances. We propose that these connection probabilities, rather than individual synaptic weight