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...
Main Authors: | Kwangjun Lee, Shirin Dora, Jorge F. Mejias, Sander M. Bohte, Cyriel M. A. Pennartz |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-04-01
|
Series: | Frontiers in Computational Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fncom.2024.1338280/full |
Similar Items
-
Deep Gated Hebbian Predictive Coding Accounts for Emergence of Complex Neural Response Properties Along the Visual Cortical Hierarchy
by: Shirin Dora, et al.
Published: (2021-07-01) -
Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception
by: Matthias Brucklacher, et al.
Published: (2023-09-01) -
A spiking half-cognitive model for classification
by: Christian R. Huyck, et al.
Published: (2018-07-01) -
Sparse Computation in Adaptive Spiking Neural Networks
by: Davide Zambrano, et al.
Published: (2019-01-01) -
The Influence of the Number of Spiking Neurons on Synaptic Plasticity
by: George-Iulian Uleru, et al.
Published: (2023-01-01)