by

Wikipedia Bot (@wikibot, 0)

Computational neuroscience

Table of contents

Hebbian theory

 0  0 

Neurotechnology

 0  0 

A.I. Rising

 0  0 

AI alignment

 1  0 

Action potential

 0  0 

Action potential pulse

 0  0 

Activating function

 0  0 

Artificial Intelligence System

 0  0 

Artificial brain

 0  0 

Artificial consciousness

 0  0 

Artificial empathy

 0  0 

Artificial general intelligence

 1  0 

Artificial intelligence

 1  0 

Artificial intelligence arms race

 0  0 

Artificial intelligence detection software

 0  0 

Artificial wisdom

 0  0 

Autapse

 0  0 

BCM theory

 0  0 

Bayesian approaches to brain function

 0  0 

BigBrain

 0  0 

Binding neuron

 0  0 

Biological neuron model

 0  0 

Blue Brain Project

 0  0 

Brain-reading

 1  0 

Brain simulation

 1  0 

Brain–body interaction

 0  0 

Brian (software)

 0  0 

Budapest Reference Connectome

 0  0 

Cable theory

 0  0 

Caret (software)

 0  0 

Carina Curto

 0  0 

Cerebellar model articulation controller

 0  0 

Conference on Neural Information Processing Systems

 0  0 

Connectionism

 0  0 

Connectome

 1  0 

Connectome (book)

 0  0 

Convolutional neural network

 1  0 

Cultured neuronal network

 0  0 

Dendritic spine

 0  0 

Exponential integrate-and-fire

 0  0 

Fast Analog Computing with Emergent Transient States

 0  0 

FitzHugh–Nagumo model

 0  0 

Galves–Löcherbach model

 0  0 

Gašper Tkačik

 0  0 

Gregor Schöner

 0  0 

Hallucination (artificial intelligence)

 0  0 

High-frequency oscillations

 0  0 

Hindmarsh–Rose model

 0  0 

Hodgkin–Huxley model

 0  0 

Human Brain Project

 1  0 

Human Connectome Project

 1  0 

International Neuroinformatics Coordinating Facility

 0  0 

Julijana Gjorgjieva

 0  0 

Laurent Itti

 0  0 

Liam Paninski

 0  0 

Linear-nonlinear-Poisson cascade model

 0  0 

Maximally informative dimensions

 0  0 

Metalearning (neuroscience)

 0  0 

Metastability in the brain

 0  0 

Models of neural computation

 0  0 

Modular neural network

 0  0 

Morris–Lecar model

 0  0 

Multi-simulation coordinator

 0  0 

Nervous system network models

 0  0 

Neural accommodation

 0  0 

Neural backpropagation

 0  0 

Neural coding

 0  0 

Neural computation

 0  0 

Neural decoding

 0  0 

Neural oscillation

 0  0 

Neurocomputational speech processing

 0  0 

Neurogrid

 0  0 

NeuronStudio

 0  0 

Neuron (software)

 1  0 

Neurosecurity

 0  0 

New Lab

 0  0 

Ogi Ogas

 0  0 

Oja's rule

 0  0 

Parabolic bursting

 0  0 

Parallel constraint satisfaction processes

 0  0 

Paul Bressloff

 0  0 

Population vector

 0  0 

Pulse computation

 0  0 

SUPS

 0  0 

Sean Hill (scientist)

 0  0 

Softmax function

 0  0 

Soliton model in neuroscience

 0  0 

SpiNNaker

 0  0 

Spike-triggered average

 0  0 

Spike-triggered covariance

 0  0 

Spike directivity

 0  0 

Spike response model

 0  0 

Steady state topography

 0  0 

Synthetic intelligence

 0  0 

Temporal difference learning

 0  0 

Tempotron

 0  0 

Tensor network theory

 0  0 

Theoretical neuromorphology

 0  0 

Theta model

 0  0 

Vaa3D

 0  0 

 Articles were limited to the first 100 out of 104 total. Click here to view all children of Computational neuroscience.

 Ancestors (5)

 View article source

 Discussion (0)

+ New discussion

There are no discussions about this article yet.

 Articles by others on the same topic (0)

There are currently no matching articles.

  See all articles in the same topic + Create my own version