The neural encoding of visual features in primary visual cortex (V1) is well understood, with strong correlates to low-level perception, making V1 a suitable target for vision restoration through neuroprosthetics. However, the functional relevance of neural dynamics evoked through external stimulation directly imposed at the cortical level remains poorly understood. In the talk I will present...
A central question in neuroscience is how the structure of brain circuits determines their activity and function. To explore this systematically, we developed a 230,000-neuron model of mouse primary visual cortex (area V1). The model integrates a broad array of experimental data: distribution and morpho-electric properties of different neuron types in V1; connection probabilities, synaptic...
It has long been rumored that Deep Learning in its current form is growing infeasible, and increasingly new methods are being explored. One prominent idea is to look at the brain for inspiration because there low energy consumption and fast reaction times are of critical importance. A central aspect in neural processing and also neuromorphic systems is the usage of spikes as a means of...
The balance of excitation and inhibition in neuronal circuits is essential for stable dynamics. This is probably why various brain regions show distinct and highly conserved ratios of excitatory and inhibitory neurons. However, it is unclear if biological neuronal networks with artificial ratios of inhibitory and excitatory neurons would exhibit changes in dynamics. Moreover, it is unclear...
We propose a functional bio-inspired multi-area model in NEST [1] for motor control where the information is frequency-coded and exchanged between spiking neurons.
Our model consists of a controller, representing the central nervous system, and an effector, modelled as an arm and implemented with PyBullet [2] (Fig 1).
Different functional areas build up the controller, each one modelled...
