Dynamical consequences of non-random connectivity in biological neural networks
Archishman Biswas, Arvind Kumar · COSYNE 2025
The connectivity network in the brain forms the basis for its functionality. Past studies have focused on the use of random (Erdos-Renyi, ER) networks or simple distant-dependent connectivity rules to model biological neural networks (BNNs). However, experimental data shows that specific network motifs are either significantly overrepresented or underrepresented in BNNs as compared to random networks. The functional significance of such non-random motifs in BNNs is poorly understood. Here, we specifically ask the question of how the presence of 3-neuron motifs in the excitatory and inhibitory
ePoster · Neuroscience