Sleep deprivation by exposure to novel objects increases synapse density and axon–spine interface in the hippocampal CA1 region of adolescent mice

GM Spano, SW Banningh, W Marshall… - Journal of …, 2019 - Soc Neuroscience
Sleep has been hypothesized to rebalance overall synaptic strength after ongoing learning
during waking leads to net synaptic potentiation. If so, because synaptic strength and size …

Introducing principles of synaptic integration in the optimization of deep neural networks

G Dellaferrera, S Woźniak, G Indiveri, A Pantazi… - Nature …, 2022 - nature.com
Plasticity circuits in the brain are known to be influenced by the distribution of the synaptic
weights through the mechanisms of synaptic integration and local regulation of synaptic …

Electrical responses and spontaneous activity of human iPS-derived neuronal networks characterized for 3-month culture with 4096-electrode arrays

H Amin, A Maccione, F Marinaro, S Zordan… - Frontiers in …, 2016 - frontiersin.org
The recent availability of human induced pluripotent stem cells (hiPSCs) holds great
promise as a novel source of human-derived neurons for cell and tissue therapies as well as …

High-degree neurons feed cortical computations

NM Timme, S Ito, M Myroshnychenko… - PLoS computational …, 2016 - journals.plos.org
Recent work has shown that functional connectivity among cortical neurons is highly varied,
with a small percentage of neurons having many more connections than others. Also, recent …

Hybrid scheme for modeling local field potentials from point-neuron networks

E Hagen, D Dahmen, ML Stavrinou, H Lindén… - Cerebral …, 2016 - academic.oup.com
With rapidly advancing multi-electrode recording technology, the local field potential (LFP)
has again become a popular measure of neuronal activity in both research and clinical …

Edge of chaos and avalanches in neural networks with heavy-tailed synaptic weight distribution

Ł Kuśmierz, S Ogawa, T Toyoizumi - Physical Review Letters, 2020 - APS
We propose an analytically tractable neural connectivity model with power-law distributed
synaptic strengths. When threshold neurons with biologically plausible number of incoming …

Computational models of Idling brain activity for memory processing

T Fukai - Neuroscience Research, 2023 - Elsevier
Studying the underlying neural mechanisms of cognitive functions of the brain is one of the
central questions in modern biology. Moreover, it has significantly impacted the …

Skewed distribution of spines is independent of presynaptic transmitter release and synaptic plasticity, and emerges early during adult neurogenesis

N Rößler, T Jungenitz, A Sigler, A Bird… - Open …, 2023 - royalsocietypublishing.org
Dendritic spines are crucial for excitatory synaptic transmission as the size of a spine head
correlates with the strength of its synapse. The distribution of spine head sizes follows a …

Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning

A Shrestha, K Ahmed, Y Wang… - 2017 international joint …, 2017 - ieeexplore.ieee.org
Spike-Timing Dependent Plasticity (STDP), the canonical learning rule for spiking neural
networks (SNN), is gaining tremendous interest because of its simplicity, efficiency and …

A lognormal recurrent network model for burst generation during hippocampal sharp waves

Y Omura, MM Carvalho, K Inokuchi… - Journal of …, 2015 - Soc Neuroscience
The strength of cortical synapses distributes lognormally, with a long tail of strong synapses.
Various properties of neuronal activity, such as the average firing rates of neurons, the rate …