Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks
Training spiking neural networks to approximate complex functions is essential for studying
information processing in the brain and neuromorphic computing. Yet, the binary nature of …
information processing in the brain and neuromorphic computing. Yet, the binary nature of …
Editorial overview: Computational neuroscience as a bridge between artificial intelligence, modeling and data
P Verzelli, T Tchumatchenko, JH Kotaleski - Current Opinion in …, 2024 - Elsevier
Computational neuroscience continues to be a broad and dynamic discipline that transforms
itself as new experimental methods make the collection of new, often multi-modal data types …
itself as new experimental methods make the collection of new, often multi-modal data types …
Sensory experience steers representational drift in mouse visual cortex
Representational drift–the gradual continuous change of neuronal representations–has
been observed across many brain areas. It is unclear whether drift is caused by synaptic …
been observed across many brain areas. It is unclear whether drift is caused by synaptic …
Degraded tactile coding in the Cntnap2 mouse model of autism
HC Wang, DE Feldman - Cell Reports, 2024 - cell.com
Atypical sensory processing is common in autism, but how neural coding is disrupted in
sensory cortex is unclear. We evaluate whisker touch coding in L2/3 of somatosensory …
sensory cortex is unclear. We evaluate whisker touch coding in L2/3 of somatosensory …
Balancing stability and plasticity in continual learning: the readout-decomposition of activation change (RDAC) framework
Continual learning (CL) algorithms strive to acquire new knowledge while preserving prior
information. However, this stability-plasticity trade-off remains a central challenge. This …
information. However, this stability-plasticity trade-off remains a central challenge. This …
[HTML][HTML] Non-spatial hippocampal behavioral timescale synaptic plasticity during working memory is gated by entorhinal inputs
CC Dorian, J Taxidis, P Golshani - bioRxiv, 2024 - ncbi.nlm.nih.gov
Behavioral timescale synaptic plasticity (BTSP) is a form of synaptic potentiation where the
occurrence of a single large plateau potential in CA1 hippocampal neurons leads to the …
occurrence of a single large plateau potential in CA1 hippocampal neurons leads to the …
Semantic plasticity across timescales in the human brain
Our representations of the world need to be stable enough to support general knowledge
but flexible enough to incorporate new information as our environment changes. How does …
but flexible enough to incorporate new information as our environment changes. How does …
Unveiling the drivers of individual critical synchronization dynamics with personalized whole-brain computational modeling
V Myrov, A Suleimanova, P Partanen, W Liu, S Knapič… - bioRxiv, 2024 - biorxiv.org
Personalized whole-brain computational modelling of emergent brain dynamics, where the
models are fitted with individual experimental data, has become increasingly important for …
models are fitted with individual experimental data, has become increasingly important for …
Wider than the Sky: An Alternative to “Mapping” the World onto the Brain
AS Barwich, S Firestein, MR Dietrich - 2024 - philsci-archive.pitt.edu
This paper reevaluates the conventional topographic model of brain function, stressing the
critical role of philosophical inquiry in neuroscience. Since the 1940s, pioneering studies by …
critical role of philosophical inquiry in neuroscience. Since the 1940s, pioneering studies by …
Deep learning-based location decoding reveals that across-day representational drift is better predicted by rewarded experience than time
Neural representations of space in the hippocampus and related brain areas change over
timescales of days-weeks, even in familiar contexts and when behavior appears stable. It is …
timescales of days-weeks, even in familiar contexts and when behavior appears stable. It is …