FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283268985> ?p ?o ?g. }

• W4283268985 endingPage "5898" @default.
• W4283268985 startingPage "5882" @default.
• W4283268985 abstract "The nervous system is under tight energy constraints and must represent information efficiently. This is particularly relevant in the dorsal part of the medial superior temporal area (MSTd) in primates where neurons encode complex motion patterns to support a variety of behaviors. A sparse decomposition model based on a dimensionality reduction principle known as non-negative matrix factorization (NMF) was previously shown to account for a wide range of monkey MSTd visual response properties. This model resulted in sparse, parts-based representations that could be regarded as basis flow fields, a linear superposition of which accurately reconstructed the input stimuli. This model provided evidence that the seemingly complex response properties of MSTd may be a by-product of MSTd neurons performing dimensionality reduction on their input. However, an open question is how a neural circuit could carry out this function. In the current study, we propose a spiking neural network (SNN) model of MSTd based on evolved spike-timing-dependent plasticity and homeostatic synaptic scaling (STDP-H) learning rules. We demonstrate that the SNN model learns compressed and efficient representations of the input patterns similar to the patterns that emerge from NMF, resulting in MSTd-like receptive fields observed in monkeys. This SNN model suggests that STDP-H observed in the nervous system may be performing a similar function as NMF with sparsity constraints, which provides a test bed for mechanistic theories of how MSTd may efficiently encode complex patterns of visual motion to support robust self-motion perception.SIGNIFICANCE STATEMENT The brain may use dimensionality reduction and sparse coding to efficiently represent stimuli under metabolic constraints. Neurons in monkey area MSTd respond to complex optic flow patterns resulting from self-motion. We developed a spiking neural network model that showed MSTd-like response properties can emerge from evolving spike-timing-dependent plasticity with STDP-H parameters of the connections between then middle temporal area and MSTd. Simulated MSTd neurons formed a sparse, reduced population code capable of encoding perceptual variables important for self-motion perception. This model demonstrates that complex neuronal responses observed in MSTd may emerge from efficient coding and suggests that neurobiological plasticity, like STDP-H, may contribute to reducing the dimensions of input stimuli and allowing spiking neurons to learn sparse representations." @default.
• W4283268985 created "2022-06-23" @default.
• W4283268985 creator A5011585098 @default.
• W4283268985 creator A5075606209 @default.
• W4283268985 creator A5083851707 @default.
• W4283268985 date "2022-06-22" @default.
• W4283268985 modified "2023-10-17" @default.
• W4283268985 title "Cortical Motion Perception Emerges from Dimensionality Reduction with Evolved Spike-Timing-Dependent Plasticity Rules" @default.
• W4283268985 cites W1486852018 @default.
• W4283268985 cites W1489333352 @default.
• W4283268985 cites W1498220309 @default.
• W4283268985 cites W1504248943 @default.
• W4283268985 cites W1514853588 @default.
• W4283268985 cites W1522881338 @default.
• W4283268985 cites W1562139599 @default.
• W4283268985 cites W1837967720 @default.
• W4283268985 cites W1904024272 @default.
• W4283268985 cites W1968714312 @default.
• W4283268985 cites W1970035526 @default.
• W4283268985 cites W1977108505 @default.
• W4283268985 cites W1987275389 @default.
• W4283268985 cites W1989600183 @default.
• W4283268985 cites W1989701469 @default.
• W4283268985 cites W2002529981 @default.
• W4283268985 cites W2009839417 @default.
• W4283268985 cites W2015342032 @default.
• W4283268985 cites W2015701831 @default.
• W4283268985 cites W2029451354 @default.
• W4283268985 cites W2041650980 @default.
• W4283268985 cites W2044427530 @default.
• W4283268985 cites W2058670155 @default.
• W4283268985 cites W2066172985 @default.
• W4283268985 cites W2074376560 @default.
• W4283268985 cites W2085710442 @default.
• W4283268985 cites W2098580305 @default.
• W4283268985 cites W2112069913 @default.
• W4283268985 cites W2115168491 @default.
• W4283268985 cites W2131185750 @default.
• W4283268985 cites W2132987714 @default.
• W4283268985 cites W2143880029 @default.
• W4283268985 cites W2143990419 @default.
• W4283268985 cites W2157239334 @default.
• W4283268985 cites W2159981931 @default.
• W4283268985 cites W2169324446 @default.
• W4283268985 cites W2432567885 @default.
• W4283268985 cites W2507056580 @default.
• W4283268985 cites W2807681456 @default.
• W4283268985 cites W2924782313 @default.
• W4283268985 cites W2954137290 @default.
• W4283268985 cites W2962908428 @default.
• W4283268985 cites W2971932544 @default.
• W4283268985 cites W3046415991 @default.
• W4283268985 cites W3135652939 @default.
• W4283268985 doi "https://doi.org/10.1523/jneurosci.0384-22.2022" @default.
• W4283268985 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35732492" @default.
• W4283268985 hasPublicationYear "2022" @default.
• W4283268985 type Work @default.
• W4283268985 citedByCount "1" @default.
• W4283268985 countsByYear W42832689852023 @default.
• W4283268985 crossrefType "journal-article" @default.
• W4283268985 hasAuthorship W4283268985A5011585098 @default.
• W4283268985 hasAuthorship W4283268985A5075606209 @default.
• W4283268985 hasAuthorship W4283268985A5083851707 @default.
• W4283268985 hasBestOaLocation W42832689851 @default.
• W4283268985 hasConcept C104114177 @default.
• W4283268985 hasConcept C111030470 @default.
• W4283268985 hasConcept C11731999 @default.
• W4283268985 hasConcept C121332964 @default.
• W4283268985 hasConcept C152671427 @default.
• W4283268985 hasConcept C153180895 @default.
• W4283268985 hasConcept C154945302 @default.
• W4283268985 hasConcept C15744967 @default.
• W4283268985 hasConcept C158693339 @default.
• W4283268985 hasConcept C169760540 @default.
• W4283268985 hasConcept C41008148 @default.
• W4283268985 hasConcept C42355184 @default.
• W4283268985 hasConcept C48575856 @default.
• W4283268985 hasConcept C50644808 @default.
• W4283268985 hasConcept C62520636 @default.
• W4283268985 hasConcept C70518039 @default.
• W4283268985 hasConceptScore W4283268985C104114177 @default.
• W4283268985 hasConceptScore W4283268985C111030470 @default.
• W4283268985 hasConceptScore W4283268985C11731999 @default.
• W4283268985 hasConceptScore W4283268985C121332964 @default.
• W4283268985 hasConceptScore W4283268985C152671427 @default.
• W4283268985 hasConceptScore W4283268985C153180895 @default.
• W4283268985 hasConceptScore W4283268985C154945302 @default.
• W4283268985 hasConceptScore W4283268985C15744967 @default.
• W4283268985 hasConceptScore W4283268985C158693339 @default.
• W4283268985 hasConceptScore W4283268985C169760540 @default.
• W4283268985 hasConceptScore W4283268985C41008148 @default.
• W4283268985 hasConceptScore W4283268985C42355184 @default.
• W4283268985 hasConceptScore W4283268985C48575856 @default.
• W4283268985 hasConceptScore W4283268985C50644808 @default.
• W4283268985 hasConceptScore W4283268985C62520636 @default.
• W4283268985 hasConceptScore W4283268985C70518039 @default.
• W4283268985 hasIssue "30" @default.
• W4283268985 hasLocation W42832689851 @default.

• next