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Artificial Neural Networks for Neuroscientists: A Primer

https://doi.org/10.1016/j.neuron.2020.09.005

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Outgoing claims: the papers this work cites, builds on, or argues with.

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ImageNet: A large-scale hierarchical image database

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Deep Residual Learning for Image Recognition

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Densely Connected Convolutional Networks

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Mask R-CNN

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Reinforcement Learning: An Introduction

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IEEE Transactions on Systems, Man, and Cybernetics

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Receptive fields of single neurones in the cat's striate cortex

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Synaptic Theory of Working Memory

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A Neural Substrate of Prediction and Reward

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Optimization Methods for Large-Scale Machine Learning

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ImageNet classification with deep convolutional neural networks

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Short-Term Synaptic Plasticity

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The Neural Basis of Decision Making

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Learning to Forget: Continual Prediction with LSTM

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Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network

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A Learning Algorithm for Continually Running Fully Recurrent Neural Networks

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Long Short-Term Memory

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Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks

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SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks

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A Stochastic Approximation Method

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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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The Organization of Behavior; A Neuropsychological Theory

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Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms

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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

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GAN（Generative Adversarial Nets）

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2018 Conference on Cognitive Computational Neuroscience

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Self-supervised Neural Network Models of Higher Visual Cortex Development

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Metamers of the ventral stream

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Attention in Psychology, Neuroscience, and Machine Learning

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Continual Learning Through Synaptic Intelligence

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Dendritic error backpropagation in deep cortical microcircuits

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inferred← citeshttps://doi.org/10.1021/acs.chemrev.3c00189openalex-snapshot

Machine Learning Methods for Small Data Challenges in Molecular Science

inferred← citeshttps://doi.org/10.1021/acsomega.1c04521openalex-snapshot

Analysis and Prediction of Hydrothermally Synthesized ZnO-Based Dye-Sensitized Solar Cell Properties Using Statistical and Machine-Learning Techniques

inferred← citeshttps://doi.org/10.1029/2024ea003942openalex-snapshot

Enhanced Forecasting and Assessment of Urban Air Quality by an Automated Machine Learning System: The AI‐Air

inferred← citeshttps://doi.org/10.1037/rev0000467openalex-snapshot

The controllosphere: The neural origin of cognitive effort.

inferred← citeshttps://doi.org/10.1038/s41467-022-28323-7openalex-snapshot

Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior

inferred← citeshttps://doi.org/10.1038/s41467-024-50501-yopenalex-snapshot

Flexible gating between subspaces in a neural network model of internally guided task switching

inferred← citeshttps://doi.org/10.1038/s41467-024-50503-wopenalex-snapshot

Neural representational geometries reflect behavioral differences in monkeys and recurrent neural networks

inferred← citeshttps://doi.org/10.1038/s41467-024-52289-3openalex-snapshot

Rapid context inference in a thalamocortical model using recurrent neural networks

inferred← citeshttps://doi.org/10.1038/s41467-024-54688-yopenalex-snapshot

Dynamic tracking of objects in the macaque dorsomedial frontal cortex

inferred← citeshttps://doi.org/10.1038/s41562-023-01592-yopenalex-snapshot

Multiplexing working memory and time in the trajectories of neural networks

inferred← citeshttps://doi.org/10.1038/s41583-023-00705-wopenalex-snapshot

The neuroconnectionist research programme

inferred← citeshttps://doi.org/10.1038/s41586-025-09142-4openalex-snapshot

Discovering cognitive strategies with tiny recurrent neural networks

inferred← citeshttps://doi.org/10.1038/s41593-022-01088-4openalex-snapshot

The role of population structure in computations through neural dynamics

inferred← citeshttps://doi.org/10.1038/s41593-024-01731-2openalex-snapshot

Dissociative and prioritized modeling of behaviorally relevant neural dynamics using recurrent neural networks

inferred← citeshttps://doi.org/10.1038/s41597-021-01046-yopenalex-snapshot

Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation

inferred← citeshttps://doi.org/10.1038/s41598-020-79908-5openalex-snapshot

Deep learning-based pupil model predicts time and spectral dependent light responses

inferred← citeshttps://doi.org/10.1038/s41598-023-31110-zopenalex-snapshot

Multitask computation through dynamics in recurrent spiking neural networks

inferred← citeshttps://doi.org/10.1038/s41598-024-54043-7openalex-snapshot

Digital design of a spatial-pow-STDP learning block with high accuracy utilizing pow CORDIC for large-scale image classifier spatiotemporal SNN

inferred← citeshttps://doi.org/10.1038/s41598-025-04605-0openalex-snapshot

Investigating the impact of meteorological parameters on daily soil temperature changes using machine learning models

inferred← citeshttps://doi.org/10.1038/s41746-025-01635-wopenalex-snapshot

Predictive modeling of hemodynamics during viscerosensory neurostimulation via neural computation mechanism in the brainstem

inferred← citeshttps://doi.org/10.1038/s42003-021-02341-5openalex-snapshot

A convolutional neural-network framework for modelling auditory sensory cells and synapses

inferred← citeshttps://doi.org/10.1038/s42003-023-05441-6openalex-snapshot

Deep learning-based image analysis identifies a DAT-negative subpopulation of dopaminergic neurons in the lateral Substantia nigra

inferred← citeshttps://doi.org/10.1038/s42003-025-07516-yopenalex-snapshot

Human response times are governed by dual anticipatory processes with distinct neural signatures

inferred← citeshttps://doi.org/10.1038/s42256-025-01029-3openalex-snapshot

Compositional pretraining improves computational efficiency and matches animal behaviour on complex tasks

inferred← citeshttps://doi.org/10.1038/s42256-025-01127-2openalex-snapshot

Single-unit activations confer inductive biases for emergent circuit solutions to cognitive tasks

inferred← citeshttps://doi.org/10.1038/s43856-023-00313-wopenalex-snapshot

Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank

inferred← citeshttps://doi.org/10.1038/s44460-026-00108-1openalex-snapshot

A spike–language dual framework bridges fast perception and deep reasoning in artificial tactile somatosensory systems

inferred← citeshttps://doi.org/10.1039/d2nh00536kopenalex-snapshot

Memristor-based neural networks: a bridge from device to artificial intelligence

inferred← citeshttps://doi.org/10.1039/d5mh00038fopenalex-snapshot

Memristive neuromorphic interfaces: integrating sensory modalities with artificial neural networks

inferred← citeshttps://doi.org/10.1039/d5su00638dopenalex-snapshot

Assessing the environmental footprint of electrochromic windows: a comparative LCA with AI-based forecasting

inferred← citeshttps://doi.org/10.1061/jaeeez.aseng-5806openalex-snapshot

Optimized Fillet Effects on the Loss Mechanism and Spatiotemporal Evolution of a Subsonic Compressor Cascade Using the SBES Model

inferred← citeshttps://doi.org/10.1061/ppscfx.sceng-1421openalex-snapshot

Based on BP Neural Network: Prediction of Interface Bond Strength between CFRP Layers and Reinforced Concrete

inferred← citeshttps://doi.org/10.1063/5.0205472openalex-snapshot

Source localization for neutron imaging systems using convolutional neural networks

inferred← citeshttps://doi.org/10.1063/5.0234258openalex-snapshot

Cyber attacks detection and type prediction for cloud system using machine learning techniques

inferred← citeshttps://doi.org/10.1063/5.0303145openalex-snapshot

A novel framework for efficient prediction of flow field within a Francis draft tube based on convolutional neural network

inferred← citeshttps://doi.org/10.1063/5.0349299openalex-snapshot

Optimization of process parameters in WEDM using integrated approach of ANN-genetic algorithm

inferred← citeshttps://doi.org/10.1073/pnas.2420356122openalex-snapshot

Contextual neural dynamics during time perception in the primate ventral premotor cortex

inferred← citeshttps://doi.org/10.1080/08839514.2021.1995232openalex-snapshot

A greenhouse modeling and control using deep neural networks

inferred← citeshttps://doi.org/10.1080/14639947.2024.2383328openalex-snapshot

Heuristic Approach in Contemporary Chinese Digital Art: Following the Traditions of Buddhism

inferred← citeshttps://doi.org/10.1080/20002297.2025.2451921openalex-snapshot

An oral microbiota-based deep neural network model for risk stratification and prognosis prediction in gastric cancer

inferred← citeshttps://doi.org/10.1088/1361-6501/ad8947openalex-snapshot

Applications of machine learning in real-time control systems: a review

inferred← citeshttps://doi.org/10.1088/1402-4896/ae138dopenalex-snapshot

In-situ Rutherford backscattering spectrometry analysis of Pt/Si and Cr/Sn systems during thermal annealing: a neural network analysis approach

inferred← citeshttps://doi.org/10.1088/1741-2552/ac8b38openalex-snapshot

Decoding working memory-related information from repeated psychophysiological EEG experiments using convolutional and contrastive neural networks

inferred← citeshttps://doi.org/10.1088/1741-2552/addd4aopenalex-snapshot

Artificial neural networks for magnetoencephalography: a review of an emerging field

inferred← citeshttps://doi.org/10.1093/bib/bbaf065openalex-snapshot

A review of neural networks for metagenomic binning

inferred← citeshttps://doi.org/10.1093/cercor/bhae498openalex-snapshot

Diagnosis of Alzheimer’s disease using FusionNet with improved secretary bird optimization algorithm for optimal MK-SVM based on imaging genetic data

inferred← citeshttps://doi.org/10.1093/pnasnexus/pgag009openalex-snapshot

Efficient planning and implementation of optimal foraging strategies under energetic constraints

inferred← citeshttps://doi.org/10.1093/scan/nsae014openalex-snapshot

Deep social neuroscience: the promise and peril of using artificial neural networks to study the social brain

inferred← citeshttps://doi.org/10.1101/2020.11.25.388546openalex-snapshot

A convolutional neural-network framework for modelling auditory sensory cells and synapses

inferred← citeshttps://doi.org/10.1101/2020.12.24.424353openalex-snapshot

Constructing neural network models from brain data reveals representational transformations underlying adaptive behavior

inferred← citeshttps://doi.org/10.1101/2021.07.02.450899openalex-snapshot

Deep learning the arrow of time in brain activity: characterising brain-environment behavioural interactions in health and disease

inferred← citeshttps://doi.org/10.1101/2021.10.04.463033openalex-snapshot

Sequential Temporal Anticipation Characterized by Neural Power Modulation and in Recurrent Neural Networks

inferred← citeshttps://doi.org/10.1101/2021.10.25.465687openalex-snapshot

Finding structure during incremental speech comprehension

inferred← citeshttps://doi.org/10.1101/2022.06.01.494426openalex-snapshot

Beyond the Delay Neural Dynamics: a Decoding Strategy for Working Memory Error Reduction

inferred← citeshttps://doi.org/10.1101/2022.06.13.496029openalex-snapshot

Simple Human Response Times are Governed by Dual Anticipatory Processes with Distinct and Distributed Neural Signatures

inferred← citeshttps://doi.org/10.1101/2022.07.08.499383openalex-snapshot

Multiplexing working memory and time: encoding retrospective and prospective information in neural trajectories

inferred← citeshttps://doi.org/10.1101/2022.10.05.511024openalex-snapshot

Neural representational geometries correlate with behavioral differences in monkeys and recurrent neural networks

inferred← citeshttps://doi.org/10.1101/2023.01.25.525596openalex-snapshot

Remapping in a recurrent neural network model of navigation and context inference

inferred← citeshttps://doi.org/10.1101/2023.04.28.538662openalex-snapshot

Data-based large-scale models provide a window into the organization of cortical computations

inferred← citeshttps://doi.org/10.1101/2023.08.15.553375openalex-snapshot

Flexible gating between subspaces in a neural network model of internally guided task switching

inferred← citeshttps://doi.org/10.1101/2023.08.27.555024openalex-snapshot

Neural computation in the brainstem for visceral sensation-driven haemodynamics

inferred← citeshttps://doi.org/10.1101/2024.01.12.575461openalex-snapshot

Compositional pretraining improves computational efficiency and matches animal behavior on complex tasks

inferred← citeshttps://doi.org/10.1101/2025.01.09.632231openalex-snapshot

Constructing Biologically Constrained RNNs via Dale’s Backprop and Topologically-Informed Pruning

inferred← citeshttps://doi.org/10.1101/2025.05.09.653224openalex-snapshot

Predicting Neural Activity from Connectome Embedding Spaces

inferred← citeshttps://doi.org/10.1101/2025.07.09.663972openalex-snapshot

Modular dynamics of conscious and unconscious states in marmoset cortex

inferred← citeshttps://doi.org/10.1101/2025.08.19.664920openalex-snapshot

Causal necessity of human hippocampus for structure-based inference in learning

inferred← citeshttps://doi.org/10.1101/2025.11.06.687057openalex-snapshot

Short-term synaptic depression in multiregional recurrent neural networks accounts for both MMN and P300-like responses and their attentional amplification

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