Visual information is broadcast among cortical areas in discrete channels DOI Open Access
Yiyi Yu,

Jeffery N. Stirman,

Christopher R. Dorsett

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2018, Volume and Issue: unknown

Published: Nov. 14, 2018

Among brain areas, axonal projections carry channels of information that can be mixed to varying degrees. Here, we assess the rules for network consisting primary visual cortex and higher areas (V1-HVA) in mice. We use large field-of-view two-photon calcium imaging measure correlated variability (i.e., noise correlations, NCs) among thousands neurons, forming over a million unique pairs, distributed across multiple cortical simultaneously. The amplitude NCs is proportional functional connectivity network, find they are robust, reproducible statistical measures, remarkably similar stimuli, thus providing effective constraints models. used these statistics tuning classes neurons V1 HVAs. Using data-driven clustering approach, identify approximately 60 distinct found between from same class, both within areas. Thus, V1-HVA mixing avoided. Instead, broadcast at micron millimeter length scales. This principle organization correlation structure individual neuron level inform constrain computational theories neocortical networks.

Language: Английский

The structures and functions of correlations in neural population codes DOI
Stefano Panzeri, Monica Moroni, Houman Safaai

et al.

Nature reviews. Neuroscience, Journal Year: 2022, Volume and Issue: 23(9), P. 551 - 567

Published: June 22, 2022

Language: Английский

Citations

155
Neural tuning and representational geometry DOI
Nikolaus Kriegeskorte, Xue-Xin Wei

Nature reviews. Neuroscience, Journal Year: 2021, Volume and Issue: 22(11), P. 703 - 718

Published: Sept. 14, 2021

Language: Английский

Citations

146
3D Biomimetic Models to Reconstitute Tumor Microenvironment In Vitro: Spheroids, Organoids, and Tumor‐on‐a‐Chip DOI Creative Commons
Wenxiu Li, Zhihang Zhou, Xiaoyu Zhou

et al.

Advanced Healthcare Materials, Journal Year: 2023, Volume and Issue: 12(18)

Published: March 14, 2023

Abstract Decades of efforts in engineering vitro cancer models have advanced drug discovery and the insight into biology. However, establishment preclinical that enable fully recapitulating tumor microenvironment remains challenging owing to its intrinsic complexity. Recent progress techniques has allowed development a new generation can recreate complex vivo microenvironments accurately predict responses, including spheroids, organoids, tumor‐on‐a‐chip. These biomimetic 3D are particular interest as they pave way for better understanding biology accelerating anticancer therapeutics with reducing animal use. Here, recent advances developing these platforms modeling screening, focusing on incorporating hydrogels reviewed reconstitute physiologically relevant microenvironments. The combination spheroids/organoids microfluidic technologies is also highlighted mimic tumors discuss challenges future directions clinical translation such screening personalized medicine.

Language: Английский

Citations

53
Simultaneous, cortex-wide dynamics of up to 1 million neurons reveal unbounded scaling of dimensionality with neuron number DOI
Jason Manley, Sihao Lu, Kevin M. Barber

et al.

Neuron, Journal Year: 2024, Volume and Issue: 112(10), P. 1694 - 1709.e5

Published: March 6, 2024

Language: Английский

Citations

32
Neural coding: Foundational concepts, statistical formulations, and recent advances DOI Creative Commons
Hideaki Shimazaki

Neuroscience Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

1
Noise correlations in neural ensemble activity limit the accuracy of hippocampal spatial representations DOI Creative Commons

Omer Hazon,

Victor Minces,

David P. Tomàs

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: July 25, 2022

Abstract Neurons in the CA1 area of mouse hippocampus encode position animal an environment. However, given variability individual neurons responses, accuracy this code is still poorly understood. It was proposed that downstream areas could achieve high spatial by integrating activity thousands neurons, but theoretical studies point to shared fluctuations firing rate as a potential limitation. Using high-throughput calcium imaging freely moving mice, we demonstrated limiting factors code. We found noise correlations bound estimation error coding ~10 cm (the size mouse). Maximal obtained using approximately [300–1400] depending on animal. These findings reveal intrinsic limits brain’s representations space and suggest single can extract maximal information from several hundred inputs.

Language: Английский

Citations

30
Computational methods to study information processing in neural circuits DOI Creative Commons
Veronika Koren, Giulio Bondanelli, Stefano Panzeri

et al.

Computational and Structural Biotechnology Journal, Journal Year: 2023, Volume and Issue: 21, P. 910 - 922

Published: Jan. 1, 2023

The brain is an information processing machine and thus naturally lends itself to be studied using computational tools based on the principles of theory. For this reason, methods or inspired by theory have been a cornerstone practical conceptual progress in neuroscience. In Review, we address how concepts related are spurring development principled theories neural circuits influential mathematical for analyses population recordings. We review these approaches reveal mechanisms essential functions performed circuits. These include efficiently encoding sensory facilitating transmission downstream areas inform guide behavior. Finally, discuss further insights can achieved, particular studying competing requirements readout may optimally traded off optimize processing.

Language: Английский

Citations

17
Adult neurogenesis improves spatial information encoding in the mouse hippocampus DOI Creative Commons
M. Agustina Frechou, Sunaina S. Martin, Kelsey D. McDermott

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: July 30, 2024

Abstract Adult neurogenesis is a unique form of neuronal plasticity in which newly generated neurons are integrated into the adult dentate gyrus process that modulated by environmental stimuli. Adult-born can contribute to spatial memory, but it unknown whether they alter neural representations space hippocampus. Using vivo two-photon calcium imaging, we find male and female mice previously housed an enriched environment, triggers increase neurogenesis, have increased information encoding gyrus. Ablating blocks effect enrichment lowers information, as does chemogenetic silencing adult-born neurons. Both ablating decreases activity neurons, resulting decreased amplitude place-specific responses. These findings contrast with previous studies suggested predominantly inhibitory action for We propose improves increasing gain thereby improving their ability tune features. This mechanism may mediate beneficial effects on learning memory.

Language: Английский

Citations

7
Simultaneous, cortex-wide and cellular-resolution neuronal population dynamics reveal an unbounded scaling of dimensionality with neuron number DOI Creative Commons
Jason Manley, Jeffrey Demas, Hyewon Kim

et al.

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

Published: Jan. 16, 2024

SUMMARY The brain’s remarkable properties arise from collective activity of millions neurons. Widespread application dimensionality reduction to multi-neuron recordings implies that neural dynamics can be approximated by low-dimensional “latent” signals reflecting computations. However, what would the biological utility such a redundant and metabolically costly encoding scheme is appropriate resolution scale recording understand brain function? Imaging one million neurons at cellular near-simultaneously across mouse cortex, we demonstrate an unbounded scaling with neuron number. While half variance lies within sixteen behavior-related dimensions, find this correspond ever-increasing number internal variables without immediate behavioral correlates. patterns underlying these higher dimensions are fine-grained cortex-wide, highlighting large-scale required uncover full substrates potentially cognitive processes.

Language: Английский

Citations

5
A unified framework for perceived magnitude and discriminability of sensory stimuli DOI Creative Commons
Jingyang Zhou, Lyndon Duong, Eero P. Simoncelli

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(25)

Published: June 10, 2024

The perception of sensory attributes is often quantified through measurements sensitivity (the ability to detect small stimulus changes), as well direct judgments appearance or intensity. Despite their ubiquity, the relationship between these two remains controversial and unresolved. Here, we propose a framework in which they arise from different aspects common representation. Specifically, assume that intensity (e.g., measured rating scales) reflect mean value an internal representation, reflects combination noise properties, by statistical measure Fisher information. Unique identification representation properties can be achieved combining As central example, show Weber’s law perceptual coexist with Stevens’ power-law scaling ratings (for all exponents), when amplitude increases proportion representational mean. We then extend this result beyond range incorporating more general physiology-inspired form accurately predicts across variety modalities attributes. Our unifies primary measurements—thresholds for scales intensity—and provides neural interpretation underlying

Language: Английский

Citations

5