Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation DOI Open Access
James B. Isbister, András Ecker, Christoph Pokorny

и другие.

Опубликована: Ноя. 8, 2024

Cortical dynamics underlie many cognitive processes and emerge from complex multi-scale interactions, which are challenging to study in vivo . Large-scale, biophysically detailed models offer a tool can complement laboratory approaches. We present model comprising eight somatosensory cortex subregions, 4.2 million morphological electrically-detailed neurons, 13.2 billion local mid-range synapses. In silico tools enabled reproduction extension of experiments under single parameterization, providing strong validation. The reproduced millisecond-precise stimulus-responses, stimulus-encoding targeted optogenetic activation, selective propagation stimulus-evoked activity downstream areas. model’s direct correspondence with biology generated predictions about how multiscale organization shapes activity; for example, cortical is shaped by high-dimensional connectivity motifs connectivity, spatial targeting rules inhibitory subpopulations. latter was facilitated using rewired connectome included specific observed different neuron types electron microscopy. also predicted the role interneuron layers stimulus encoding. Simulation large subvolume made available enable further community-driven improvement, validation investigation.

Язык: Английский

Efficiency and reliability in biological neural network architectures DOI Creative Commons
Daniela Egas Santander, Christoph Pokorny, András Ecker

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Март 17, 2024

Abstract Simplified models of neural networks have demonstrated the importance establishing a reasonable tradeoff between memory capacity and fault-tolerance in cortical coding schemes. The intensity is mediated by level neuronal variability. Indeed, increased redundancy activity enhances robustness code at cost its efficiency. We hypothesized that heterogeneous architecture biological provides substrate to regulate this tradeoff, thereby allowing different subpopulations same network optimize for objectives. To distinguish subpopulations, we developed metric based on mathematical theory simplicial complexes captures complexity their connectivity, contrasting higher-order structure random control. confirm relevance our analyzed several openly available connectomes, revealing they all exhibited wider distributions across than relevant controls. Using biologically detailed model an electron microscopic data set connectivity with co-registered functional data, showed low exhibit efficient activity. Conversely, high play supporting role boosting reliability as whole, softening robustness-efficiency tradeoff. Crucially, found both types can do coexist within single connectome networks, due heterogeneity connectivity. Our work thus suggests avenue resolving seemingly paradoxical previous results assume homogeneous

Язык: Английский

Процитировано

7
Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation DOI Open Access
James B. Isbister, András Ecker, Christoph Pokorny

и другие.

Опубликована: Фев. 7, 2025

Cortical dynamics underlie many cognitive processes and emerge from complex multi-scale interactions, which are challenging to study in vivo . Large-scale, biophysically detailed models offer a tool can complement laboratory approaches. We present model comprising eight somatosensory cortex subregions, 4.2 million morphological electrically-detailed neurons, 13.2 billion local mid-range synapses. In silico tools enabled reproduction extension of experiments under single parameterization, providing strong validation. The reproduced millisecond-precise stimulus-responses, stimulus-encoding targeted optogenetic activation, selective propagation stimulus-evoked activity downstream areas. model’s direct correspondence with biology generated predictions about how multiscale organization shapes activity; for example, cortical is shaped by high-dimensional connectivity motifs connectivity, spatial targeting rules inhibitory subpopulations. latter was facilitated using rewired connectome included specific observed different neuron types electron microscopy. also predicted the role interneuron layers stimulus encoding. Simulation large subvolume made available enable further community-driven improvement, validation investigation.

Язык: Английский

Процитировано

0
Specific inhibition and disinhibition in the higher-order structure of a cortical connectome DOI Creative Commons
Michael W. Reimann, Daniela Egas Santander, András Ecker

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Дек. 22, 2023

ABSTRACT Neurons are thought to act as parts of assemblies with strong internal excitatory connectivity. Conversely, inhibition is often reduced blanket no targeting specificity. We analyzed the structure excitation and in MICrONS mm 3 dataset, an electron microscopic reconstruction a piece cortical tissue. found that was structured around feed-forward flow large non-random neuron motifs information from small number sources larger potential targets. Inhibitory neurons connected specific sequential positions these motifs, implementing targeted symmetrical competition between them. None trends detectable only pairwise connectivity, demonstrating by motifs. While descriptions circuits range non-specific blanket-inhibition targeted, our results describe form specificity existing higher-order connectome. These findings have important implications for role learning synaptic plasticity.

Язык: Английский

Процитировано

4
Heterogeneous and higher-order cortical connectivity undergirds efficient, robust and reliable neural codes DOI Creative Commons
Daniela Egas Santander, Christoph Pokorny, András Ecker

и другие.

iScience, Год журнала: 2024, Номер 28(1), С. 111585 - 111585

Опубликована: Дек. 12, 2024

Язык: Английский

Процитировано

1
Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation DOI Open Access
James B. Isbister, András Ecker, Christoph Pokorny

и другие.

Опубликована: Ноя. 8, 2024

Cortical dynamics underlie many cognitive processes and emerge from complex multi-scale interactions, which are challenging to study in vivo . Large-scale, biophysically detailed models offer a tool can complement laboratory approaches. We present model comprising eight somatosensory cortex subregions, 4.2 million morphological electrically-detailed neurons, 13.2 billion local mid-range synapses. In silico tools enabled reproduction extension of experiments under single parameterization, providing strong validation. The reproduced millisecond-precise stimulus-responses, stimulus-encoding targeted optogenetic activation, selective propagation stimulus-evoked activity downstream areas. model’s direct correspondence with biology generated predictions about how multiscale organization shapes activity; for example, cortical is shaped by high-dimensional connectivity motifs connectivity, spatial targeting rules inhibitory subpopulations. latter was facilitated using rewired connectome included specific observed different neuron types electron microscopy. also predicted the role interneuron layers stimulus encoding. Simulation large subvolume made available enable further community-driven improvement, validation investigation.

Язык: Английский

Процитировано

0