Track 31: Computational Neuroscience

Sub Track:

Neural Coding and Representation, Neural Networks and Synaptic Plasticity, Brain Simulation and Modeling, Sensory Processing and Perception, Motor Control and Action Planning, Computational Models of Cognitive Functions, Brain-Computer Interfaces (BCIs), Neural Engineering and Artificial Intelligence

Computational Neuroscience

 Computational neuroscience is an interdisciplinary field that applies mathematical models, simulations, and computational techniques to understand the function and organization of the brain and nervous system. It involves developing models to simulate neural processes, interpret brain activity, and predict the behavior of neurons, circuits, and networks. This field helps bridge the gap between biology, psychology, and engineering by creating theoretical frameworks to understand complex neural phenomena.

 Rate coding: Information is encoded in the frequency of spikes.

Temporal coding: Information is encoded in the precise timing of spikes.

Spike-timing-dependent plasticity (STDP): A form of synaptic plasticity where the timing of spikes influences how synapses are strengthened or weakened.

Neural networks are collections of interconnected neurons that process and transmit information. Computational models of neural networks aim to understand how networks of neurons perform complex computations and how synaptic connections change over time.Computational models allow researchers to simulate and study brain activity at various scales, from individual neurons to entire brain regions.Computational neuroscience models are used to study how the brain processes sensory input and translates it into perception.Motor control involves the brain's ability to plan and execute voluntary movements. Computational models help simulate and understand the neural mechanisms behind these processes.In computational neuroscience, cognitive processes like learning, memory, decision-making, and attention are often modeled to understand how the brain carries out these complex functions.