PerspectiveThe receptive field is dead. Long live the receptive field?
Section snippets
Acknowledgments
We thank David Kleinfeld, Andre Longtin, Surya Ganguli, Dora Angelaki and the other attendees of the 2014 Canadian Institute for Advanced Research (CIFAR) workshop, as well as Blaise Agüera y Arcas and Alison Duffy for stimulating discussions. We thank CIFAR for the opportunity to meet. This work was funded by CRCNS NIH grant R01DC013693-01. The views expressed in this article are not necessarily those of the NIH.
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An Algorithmic Approach to Natural Behavior
2020, Current BiologyCitation Excerpt :Algorithms are executed through a physical Implementation involving the animal’s sensory organs, musculoskeletal system, and nervous system (Figure 1). While the definition of an algorithm used here is more restricted than that used in past work (for example [8,35,36]), the hierarchical view of natural behavior shown in Figure 1 has much in common with schema developed in the past to help organize questions about behavior, most notably Marr’s levels of analysis [8], Tinbergen’s four questions [32], and recent elaborations of these frameworks [5,36]. The essential point of such hierarchical schemes is to emphasize that behavior seldom involves processes occurring on a single timescale or at a single level of organization.
The Organization of Projections from Olfactory Glomeruli onto Higher-Order Neurons
2018, NeuronCitation Excerpt :However, the wiring from glomeruli onto amygdala neurons is no better understood than the wiring of the lateral horn. The gaps in our knowledge of these higher olfactory brain regions have led to the suggestion that there are perhaps no intermediate levels of complexity in the wiring of the olfactory system (Fairhall, 2014)—e.g., no repeated motifs built from specific combinations of glomeruli. If this is true, then the olfactory system is radically different from the visual system, which contains a hierarchy of increasingly complex feature-detection cells.
Understanding neural circuit development through theory and models
2017, Current Opinion in NeurobiologyCitation Excerpt :Existing research has focused on understanding the emergence of simple receptive fields, typically generated through feedforward plastic interactions. With the reinvention of the concept of ‘receptive field’ [53], we might also need to adjust the end goal of theoretical models driven by developmental activity patterns. Furthermore, foundational theoretical work is also needed to study complex receptive fields in primary visual cortex [54], or the coexistence of multiple feature-selectivities [55], as well as response features of neurons in higher visual areas that build on low-order representations [56,57].
Editorial overview: Theoretical and computational neuroscience
2014, Current Opinion in NeurobiologyStructured random receptive fields enable informative sensory encodings
2022, PLoS Computational BiologyDirect Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data
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