ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2025
A Neural Model for V1 That Incorporates Dendritic Nonlinearities and Backpropagating Action Potentials.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Overcoming the limitations of motion sensor models by considering dendritic computations.Scientific reports · 2025Article
- Plaid masking explained with input-dependent dendritic nonlinearities.Scientific reports · 2024Article
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Authors and funding
3 authors.
Funding
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Abstract
The work of Hubel and Wiesel has been instrumental in shaping our understanding of V1, leading to modeling neural responses as cascades of linear and nonlinear processes in what is known as the "standard model" of vision. Under this formulation, however, some dendritic properties cannot be represented in a practical manner, while evidence from both experimental and theoretical work indicates that dendritic processes are an indispensable element of key neural behaviors. As a result, current V1 models fail to explain neural responses in a number of scenarios. In this work, we propose an implicit model for V1 that considers nonlinear dendritic integration and backpropagation of action potentials from the soma to the dendrites. Our model can be viewed as an extension of the standard model that minimizes an energy function, allows for a better conceptual understanding of neural processes, and explains several neurophysiological phenomena that have challenged classical approaches.
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