Work

Predictive coding with spiking neural networks: A survey

Year: 2025

Type: review

Source: Neural Networks

DOI: 10.1016/j.neunet.2025.108371

Authors: Antony W. N’dri, William Gebhardt, Céline Teulière, Fleur Zeldenrust, Rajesh P.N. Rao, Jochen Triesch, Alexander Ororbia

Institutions: Centre National de la Recherche Scientifique, Institut Pascal, Université Clermont Auvergne, Clermont Auvergne INP, Rochester Institute of Technology, Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour, University of Washington, Frankfurt Institute for Advanced Studies

Language: English

Topic: Embodied and Extended Cognition

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

Funders: Amazon, National Science Foundation, Cisco Systems, Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Templeton World Charity Foundation, Johanna Quandt Stiftung, National Institutes of Health, National Institute of Neurological Disorders and Stroke, Air Force Office of Scientific Research

Awards: G1621555549, Tracking the emergence of internal models, G5878853883, G593590568, EFRI BRAID: Optical Neural Co-Processors for Predictive and Adaptive Brain Restoration and Augmentation, G6314896884, Clermont Auvergne Projet Graduate School, Top-down neuromodulation and bottom-up network computation, a computational study

OpenAlex ID: W4416682903

FWCI: 0.719

Cites: 111

Cited by: 5

Related to: 10