Predictive coding with spiking neurons and feedforward gist signaling

Predictive coding with spiking neurons and feedforward gist signaling

Predictive coding (PC) is an influential theory in neuroscience, which suggests the existence of a cortical architecture that is constantly generating and updating predictive representations of sensory inputs. Owing to its hierarchical and generative nature, PC has inspired many computational models...

书目详细资料
Main Authors:	Kwangjun Lee, Shirin Dora, Jorge F. Mejias, Sander M. Bohte, Cyriel M. A. Pennartz
格式:	文件
语言:	English
出版:	Frontiers Media S.A. 2024-04-01
丛编:	Frontiers in Computational Neuroscience
主题:	predictive processing visual cortex spiking neural network Hebbian learning unsupervised learning representation learning
在线阅读:	https://www.frontiersin.org/articles/10.3389/fncom.2024.1338280/full

相似书籍

Deep Gated Hebbian Predictive Coding Accounts for Emergence of Complex Neural Response Properties Along the Visual Cortical Hierarchy
由: Shirin Dora, et al.
出版: (2021-07-01)

Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception
由: Matthias Brucklacher, et al.
出版: (2023-09-01)

The Influence of the Number of Spiking Neurons on Synaptic Plasticity
由: George-Iulian Uleru, et al.
出版: (2023-01-01)

Sparse Computation in Adaptive Spiking Neural Networks
由: Davide Zambrano, et al.
出版: (2019-01-01)

Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding
由: Martin J. Pearson, et al.
出版: (2021-12-01)

A spiking binary neuron — detector of causal links
由: Kiselev, Mikhail V., et al.
出版: (2024-09-01)

DPSNN: spiking neural network for low-latency streaming speech enhancement
由: Tao Sun, et al.
出版: (2024-01-01)

Continual learning with hebbian plasticity in sparse and predictive coding networks: a survey and perspective
由: Ali Safa
出版: (2024-01-01)

Spiking representation learning for associative memories
由: Naresh Ravichandran, et al.
出版: (2024-09-01)

Spiking Neural Networks for Computational Intelligence: An Overview
由: Shirin Dora, et al.
出版: (2021-11-01)

Spiking Neuron Network Helmholtz Machine
由: Pavel eSountsov, et al.
出版: (2015-04-01)

Voltage-dependent synaptic plasticity: Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential
由: Nikhil Garg, et al.
出版: (2022-10-01)

A Neurobiologically Constrained Cortex Model of Semantic Grounding With Spiking Neurons and Brain-Like Connectivity
由: Rosario Tomasello, et al.
出版: (2018-11-01)

Dopamine-enabled anti-Hebbian timing-dependent plasticity in prefrontal circuitry
由: Hongyu eRuan, et al.
出版: (2014-04-01)

Deep unsupervised learning using spike-timing-dependent plasticity
由: Sen Lu, et al.
出版: (2024-01-01)

A spiking neural network for active efficient coding
由: Thomas Barbier, et al.
出版: (2025-01-01)

Linking Neural and Symbolic Representation and Processing of Conceptual Structures
由: Frank van der Velde, et al.
出版: (2017-08-01)

Stream-based Hebbian eigenfilter for real-time neuronal spike discrimination
由: Yu Bo, et al.
出版: (2012-04-01)

Recurrent Spiking Neural Network Learning Based on a Competitive Maximization of Neuronal Activity
由: Vyacheslav Demin, et al.
出版: (2018-11-01)

Adaptive SNN for Anthropomorphic Finger Control
由: Mircea Hulea, et al.
出版: (2021-04-01)

Unsupervised end-to-end training with a self-defined target
由: Dongshu Liu, et al.
出版: (2024-01-01)

FCMpy: a python module for constructing and analyzing fuzzy cognitive maps
由: Samvel Mkhitaryan, et al.
出版: (2022-09-01)

Unsupervised Spiking Neural Network with Dynamic Learning of Inhibitory Neurons
由: Geunbo Yang, et al.
出版: (2023-08-01)

Does spike-timing-dependent synaptic plasticity couple or decouple neurons firing in synchrony?
由: Andreas eKnoblauch, et al.
出版: (2012-08-01)

Enhanced representation learning with temporal coding in sparsely spiking neural networks
由: Adrien Fois, et al.
出版: (2023-11-01)

NMDA spikes mediate amplification of inputs in the rat piriform cortex
由: Amit Kumar, et al.
出版: (2018-12-01)

Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks
由: Philipp Weidel, et al.
出版: (2021-03-01)

Robust detection of neural spikes using sparse coding based features
由: Zuozhi Liu, et al.
出版: (2020-06-01)

Racing to Learn: Statistical Inference and Learning in a Single Spiking Neuron with Adaptive Kernels
由: Saeed eAfshar, et al.
出版: (2014-11-01)

Unsupervised Learning of Digit Recognition Using Spike-Timing-Dependent Plasticity
由: Peter U. Diehl, et al.
出版: (2015-08-01)

From Hebb rules to Spike-Timing-Dependent Plasticity: a personal account
由: Wulfram eGerstner
出版: (2010-12-01)

A Delay Learning Algorithm Based on Spike Train Kernels for Spiking Neurons
由: Xiangwen Wang, et al.
出版: (2019-03-01)

Unsupervised Learning of Persistent and Sequential Activity
由: Ulises Pereira, et al.
出版: (2020-01-01)

Conduction Delay Learning Model for Unsupervised and Supervised Classification of Spatio-Temporal Spike Patterns
由: Takashi Matsubara
出版: (2017-11-01)

Unsupervised Conditional Reflex Learning Based on Convolutional Spiking Neural Network and Reward Modulation
由: Xuchen Guan, et al.
出版: (2020-01-01)

A Hebbian Approach to Non-Spatial Prelinguistic Reasoning
由: Fernando Aguilar-Canto, et al.
出版: (2022-02-01)

Reconsidering the Imaging Evidence Used to Implicate Prediction Error as the Driving Force behind Learning
由: Jiří Čevora, et al.
出版: (2017-08-01)

A Supervised Learning Algorithm for Spiking Neurons Using Spike Train Kernel Based on a Unit of Pair-Spike
由: Guojun Chen, et al.
出版: (2020-01-01)

Analysis of Whole-Body Coordination Patterning in Successful and Faulty Spikes Using Self-Organising Map-Based Cluster Analysis: A Secondary Analysis
由: Javad Sarvestan, et al.
出版: (2021-02-01)

Editorial: Artificial Neural Networks as Models of Neural Information Processing
由: Marcel van Gerven, et al.
出版: (2017-12-01)