Topic

Computational Neuroscience & AI

Neural codes, networks, the predictive brain, artificial neural networks, brain-computer interfaces and neuromorphic chips.

7 articles

Computational Neuroscience & AI Beginner Brain-Computer Interfaces Devices that read brain signals to control computers, robotic arms and synthetic voices: BrainGate, speech neuroprostheses, Neuralink and Synchron, non-invasive BCIs, and the ethical questions they raise. July 9, 2026 · 3 min read

Computational Neuroscience & AI Intermediate Brain Networks and the Default Mode The brain as a network: small-world wiring, hubs and the rich club, large-scale networks such as the default mode, salience and control networks, and what network science reveals about health and disease. June 29, 2026 · 2 min read

Computational Neuroscience & AI Intermediate Computational Neuroscience Using mathematics and computer models to understand how the brain computes: from Hodgkin–Huxley and McCulloch–Pitts to Hopfield networks, reinforcement learning and large-scale simulations. June 1, 2026 · 3 min read

Computational Neuroscience & AI Advanced The Predictive Brain Predictive processing, the Bayesian brain and the free-energy principle: the influential idea that the brain constantly predicts its inputs and learns from prediction errors — and what it explains about perception, action and mental illness. May 1, 2026 · 2 min read

Computational Neuroscience & AI Beginner The Brain vs. Artificial Neural Networks How brain science inspired AI — from the perceptron to deep learning — and how today's artificial neural networks are both similar to and very different from real brains. April 18, 2026 · 3 min read

Computational Neuroscience & AI Advanced Neural Coding: How Neurons Represent Information Rate codes and timing codes, population vectors, sparse coding and 'concept cells' that respond to Jennifer Aniston: how patterns of spikes carry information about the world and our actions. April 3, 2026 · 3 min read

Computational Neuroscience & AI Intermediate Neuromorphic Computing Chips that compute like brains: spiking neurons, event-driven processing and in-memory computation — from Carver Mead's 1980s vision to TrueNorth, Loihi, SpiNNaker and event cameras. March 24, 2026 · 2 min read

About this project

NeuroScience Decoded is an independent, plain-language encyclopedia of the brain and nervous system. It covers what neuroscience is, five thousand years of its history and the people who made it, how neurons and synapses work, brain chemistry and anatomy, development, the senses, movement, memory, emotion, sleep and consciousness, neurological and mental health conditions, the tools scientists use, the overlap with artificial intelligence, treatments, and the ethics and future of the field.

Every entry is written to be understood by a curious reader with no science background. Each one is tagged Beginner, Intermediate or Advanced, opens with an In plain English summary, offers everyday analogies and try-it-yourself examples, ends with key takeaways, and links to the concepts worth reading first.