Efficient laminar-distributed interactions and orientation selectivity in the mouse V1 cortical column DOI Creative Commons

Licheng Zou,

Giulia Moreni, Cyriel M. A. Pennartz

et al.

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

Published: Nov. 5, 2024

Abstract The emergence of orientation selectivity in the visual cortex is a well-known phenomenon neuroscience, but details such and role different cortical layers cell types, particularly rodents which lack topographical organization orientation-selectivity (OS) properties, are less clear. To tackle this question, we use an existing biologically detailed model mouse V1 column, constrained by connectivity data across between pyramidal, PV, SST VIP types. Using as basis, implemented activity-dependent structural plasticity induced stimulation with orientated drifting gratings, leading to good match tuning properties pyramidal cells experimentally observed OS laminar distribution, their evoked firing rate width. We then employed mean-field uncover co-tuned subnetworks signal propagation explain effects intra- inter-laminar coupling distributions. Our plasticity-induced modified were able both excitatory enhancement through disynaptic inhibition. Overall, our work highlights importance clustering neural features for effective transmission circuits.

Language: Английский

The meso-connectomes of mouse, marmoset, and macaque: network organization and the emergence of higher cognition DOI Creative Commons

Loïc Magrou,

Mary Kate P. Joyce, Seán Froudist‐Walsh

et al.

Cerebral Cortex, Journal Year: 2024, Volume and Issue: 34(5)

Published: April 9, 2024

The recent publications of the inter-areal connectomes for mouse, marmoset, and macaque cortex have allowed deeper comparisons across rodent vs. primate cortical organization. In general, these show that mouse has very widespread, "all-to-all" connectivity (i.e. a "highly dense" connectome in graph theoretical framework), while primates more modular this review, we highlight relevance differences to function, including example primary visual (V1) which, is interconnected with all other areas, therefore sensory frontal areas. We argue dense benefits multimodal associations, at cost reduced functional segregation. Conversely, expanded cortices structure, where V1 almost exclusively cortices, themselves organized relatively segregated streams, hierarchically higher areas such as prefrontal provide top-down regulation specifying precise information working memory storage manipulation. Increased complexity cytoarchitecture, connectivity, dendritic spine density, receptor expression additionally reveal sharper hierarchical organization cortex. Together, specializations permit separable deconstruction selective reconstruction representations, which essential cognition.

Language: Английский

Citations

6
Models of working memory DOI

Nicolas Brunel

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
Unifying network model links recency and central tendency biases in working memory DOI Creative Commons
Vezha Boboeva, Alberto Pezzotta, Claudia Clopath

et al.

eLife, Journal Year: 2023, Volume and Issue: 12

Published: Aug. 2, 2023

The central tendency bias, or contraction is a phenomenon where the judgment of magnitude items held in working memory appears to be biased toward average past observations. It assumed an optimal strategy by brain and commonly thought as expression brain's ability learn statistical structure sensory input. On other hand, recency biases such serial dependence are also observed reflect content memory. Recent results from auditory delayed comparison task rats suggest that both may more related than previously thought: when posterior parietal cortex (PPC) was silenced, short-term were reduced. By proposing model circuit involved generating behavior, we show volatile susceptible shifting experience - producing history naturally leads bias. errors, occurring at level individual trials, sampled full distribution stimuli not due gradual shift distribution's mean. Our consistent with broad set behavioral findings provide predictions performance across different stimulus distributions timings, delay intervals, well neuronal dynamics putative areas. Finally, validate our performing human psychophysics experiments parametric task.

Language: Английский

Citations

8
Association cortical areas in the mouse contain a large population of fast‐spiking GABAergic neurons that do not express parvalbumin DOI Creative Commons

Erik Justin Courcelles,

Kasper Kjelsberg,

Laura Convertino

et al.

European Journal of Neuroscience, Journal Year: 2024, Volume and Issue: 59(12), P. 3236 - 3255

Published: April 21, 2024

Abstract GABAergic neurons represent 10–15% of the neuronal population cortex but exert a powerful control over information flow in cortical circuits. The largest class neocortex is represented by parvalbumin‐expressing fast‐spiking neurons, which provide somatic inhibition to their postsynaptic targets. Recently, density parvalbumin interneurons has been shown be lower associative areas mouse as compared with sensory and motor areas. Modelling work based on these quantifications linked low‐density specific computations cortices. However, it still unknown whether total association cortices smaller or another type can compensate for low interneurons. In present study, we investigated hypotheses using combination neuroanatomy, genetics neurophysiology. We found that comparable primary areas, enriched do not express were accounted previous quantifications. developed an intersectional viral strategy demonstrate across regions. Our results offers new biological constrains refine current models computations.

Language: Английский

Citations

2
A mesoscale connectome-based model of conscious access in the macaque monkey DOI Creative Commons
Ulysse Klatzmann, Seán Froudist‐Walsh,

Daniel P. Bliss

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2022, Volume and Issue: unknown

Published: Feb. 22, 2022

Abstract A growing body of evidence suggests that conscious perception a sensory stimulus coincides with all-or-none activity across multiple cortical areas, phenomenon called ‘ignition’. In contrast, the same stimulus, when undetected, induces only transient activity. this work, we report large-scale model macaque cortex based on recently quantified structural mesoscopic connectome data. We use to simulate detection task, and demonstrate how dynamical bifurcation mechanism produces ignition-like events in network. The predicts feedforward excitatory transmission is primarily mediated by fast AMPA receptors ensure rapid signal propagation from associative areas. greater proportion inter-areal feedback projections local recurrent excitation depend slow NMDA receptors, ignition distributed frontoparietal Our predicts, counterintuitively, fast-responding areas contain higher ratio compared association show slow, sustained validate prediction using cortex-wide in-vitro receptor autoradiography Finally, can account for various behavioral physiological effects linked consciousness. Together, these findings clarify neurophysiological mechanisms access primate support concept gradients densities along hierarchy contribute cognitive functions.

Language: Английский

Citations

9
Signatures of hierarchical temporal processing in the mouse visual system DOI Creative Commons
Lucas Rudelt, D. Marx, F. Paul Spitzner

et al.

PLoS Computational Biology, Journal Year: 2024, Volume and Issue: 20(8), P. e1012355 - e1012355

Published: Aug. 22, 2024

A core challenge for the brain is to process information across various timescales. This could be achieved by a hierarchical organization of temporal processing through intrinsic mechanisms (e.g., recurrent coupling or adaptation), but recent evidence from spike recordings rodent visual system seems conflict with this hypothesis. Here, we used an optimized information-theoretic and classical autocorrelation analysis show that information- correlation timescales spiking activity increase along anatomical hierarchy mouse under stimulation, while predictability decreases. Moreover, spontaneous displayed similar hierarchy, whereas was stimulus-dependent. We reproduce these observations in basic network model correlated sensory input. Our findings suggest employs achieve longer integration higher cortical areas, simultaneously reducing efficient neural code.

Language: Английский

Citations

1
Efficient laminar-distributed interactions and orientation selectivity in the mouse V1 cortical column DOI Creative Commons

Licheng Zou,

Giulia Moreni, Cyriel M. A. Pennartz

et al.

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

Published: Nov. 5, 2024

Abstract The emergence of orientation selectivity in the visual cortex is a well-known phenomenon neuroscience, but details such and role different cortical layers cell types, particularly rodents which lack topographical organization orientation-selectivity (OS) properties, are less clear. To tackle this question, we use an existing biologically detailed model mouse V1 column, constrained by connectivity data across between pyramidal, PV, SST VIP types. Using as basis, implemented activity-dependent structural plasticity induced stimulation with orientated drifting gratings, leading to good match tuning properties pyramidal cells experimentally observed OS laminar distribution, their evoked firing rate width. We then employed mean-field uncover co-tuned subnetworks signal propagation explain effects intra- inter-laminar coupling distributions. Our plasticity-induced modified were able both excitatory enhancement through disynaptic inhibition. Overall, our work highlights importance clustering neural features for effective transmission circuits.

Language: Английский

Citations

0