Preconfigured architecture of the developing mouse brain

Cell Reports, Journal Year: 2024, Volume and Issue: 43(6), P. 114267 - 114267

Published: May 24, 2024

In the adult brain, structural and functional parameters, such as synaptic sizes neuronal firing rates, follow right-skewed heavy-tailed distributions. While this organization is thought to have significant implications, its development still largely unknown. Here, we address knowledge gap by investigating a large-scale dataset recorded from prefrontal cortex olfactory bulb of mice aged 4–60 postnatal days. We show that rates spike train interactions stable distribution shape throughout first 60 days displays small-world architecture. Moreover, early brain activity exhibits an oligarchical organization, where high-firing neurons hub-like properties. neural network model, analogously parameters are instrumental consistently recapitulate experimental data. Thus, in developing already extremely distributed, suggesting preconfigured not experience dependent.

Language: Английский

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Human Neural Organoid Microphysiological Systems Show the Building Blocks Necessary for Basic Learning and Memory

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 19, 2024

Summary Brain Microphysiological Systems including neural organoids derived from human induced pluripotent stem cells offer a unique lens to study the intricate workings of brain. This paper investigates foundational elements learning and memory in organoids, also known as Organoid Intelligence by quantifying immediate early gene expression, synaptic plasticity, neuronal network dynamics, criticality demonstrate utility these basic science research. Neural showed synapse formation, glutamatergic GABAergic receptor expression basally evoked, functional connectivity, criticality, plasticity response theta-burst stimulation. In addition, pharmacological interventions on receptors, input specific stimulation further shed light capacity mirror modulation short-term potentiation, demonstrating their potential tools for studying neurophysiological neurological processes informing therapeutic strategies diseases. Graphical Abstract Overview main components experiments conducted. Figure created using BioRender.com.

Language: Английский

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Why brain organoids are not conscious yet

Patterns, Journal Year: 2024, Volume and Issue: 5(8), P. 101011 - 101011

Published: June 24, 2024

Rapid advances in human brain organoid technologies have prompted the question of their consciousness. Although organoids resemble many facets brain, shortcomings strongly suggest that they do not fit any operational definitions As gain internal processing systems through statistical learning and closed loop algorithms, interact with external world, become embodied fusion other organ systems, questions biosynthetic consciousness will arise.

Language: Английский

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Model-Agnostic Neural Mean Field With The Refractory SoftPlus Transfer Function

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 6, 2024

Due to the complexity of neuronal networks and nonlinear dynamics individual neurons, it is challenging develop a systems-level model which accurate enough be useful yet tractable apply. Mean-field models extrapolate from single-neuron descriptions large-scale can derived neuron's transfer function, gives its firing rate as function synaptic input. However, analytically functions are applicable only neurons noise they were originally derived. In recent work, approximate have been empirically by fitting sigmoidal curve, imposes maximum applies in diffusion limit, restricting applications. this paper, we propose an called Refractory SoftPlus, simple broad variety neuron types. SoftPlus activation allow derivation approximated mean-field using simulation results, enables prediction response network randomly connected time-varying external stimulus with high degree accuracy. These also support bifurcation analysis level recurrent Finally, works without assuming large presynaptic rates or small postsynaptic potential size, allowing developed even for populations interaction terms.

Language: Английский

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Development of neuronal timescales in human cortical organoids and rat hippocampus dissociated cultures

Journal of Neurophysiology, Journal Year: 2024, Volume and Issue: 132(3), P. 757 - 764

Published: July 17, 2024

To support complex cognition, neuronal circuits must integrate information across multiple temporal scales, ranging from milliseconds to decades. Neuronal timescales describe the duration over which activity within a network persists, posing putative explanatory mechanism for how might be integrated scales. Little is known about develop in human neural or other model systems, limiting insight into functional dynamics necessary cognition emerge. In our work, we show that nonlinear fashion cortical organoids, partially replicated dissociated rat hippocampus cultures. We use spectral parameterization of spiking extract an estimate timescale unbiased by coevolving oscillations. Cortical organoid begin increase around

Language: Английский

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Model-agnostic neural mean field with a data-driven transfer function

Neuromorphic Computing and Engineering, Journal Year: 2024, Volume and Issue: 4(3), P. 034013 - 034013

Published: Sept. 1, 2024

As one of the most complex systems known to science, modeling brain behavior and function is both fascinating extremely difficult. Empirical data increasingly available from

Language: Английский

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