Spike-Timing Models of plasticity

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 2 of 4

Data-Driven Modeling in Neuroscience: Meenakshi Khosla

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.

Attractor Networks and Generalizations

Explores attractor networks, Hopfield model generalizations, and memory dynamics in computational neuroscience.

Neural Model: Assemblies of Neurons and Language Acquisition

Explores a neural model, assemblies of neurons, language acquisition, and the future of neuromorphic intelligent systems.

Decisions, actions, volition

Explores decision models in computational neuroscience, focusing on competitive dynamics, perceptual decision making, and the problem of free will.

Generalized Integrate-and-Fire Models

Explores the Generalized Integrate-and-Fire Model and the Nonlinear Integrate-and-Fire Model.

Three definitions of rate code

Discusses three definitions of rate code in computational neuroscience, emphasizing temporal averaging, interspike intervals, and FANO factor.

From Spiking Models to Rate Models

Covers the transition from spiking models to rate models in computational neuroscience.

Neuronal Plasticity: Synaptic Changes and Brain Functioning

Explores neuronal plasticity, synaptic changes, brain functioning, and unconscious states through various mechanisms.

Artificial Limbs: Neither Body nor Tool

Delves into the challenges of achieving full embodiment with artificial limbs and the importance of maintaining a sense of collective unity.

Synaptic Plasticity and Learning: F7 Triplet STDP model

Explores the Triplet STDP model in synaptic plasticity and learning.