Computational modeling reveals biological mechanisms underlying the whisker-flick EEG DOI Open Access
Joseph Tharayil, James B. Isbister, Esra Neufeld

и другие.

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

Опубликована: Дек. 17, 2024

Abstract Whisker flick stimulation is a commonly used protocol to investigate somatosensory processing in rodents. Neural activity the brain evoked by whisker flicks produces characteristic EEG waveform recorded at skull, known as potential. In this paper, we use silico modeling identify neural populations that serve sources and targets of synaptic currents contributing signal (presynaptic postsynaptic populations, respectively). The initial positive deflection driven largely direct thalamic inputs Layer 2/3 5 pyramidal cells, though interestingly, L5-L5 inhibition plays modulatory role, reducing amplitude width deflection. This suggests increasing thalamocortical connectivity decreasing may be responsible for some changes observed over course development. negative more complex mix sources, including both recurrent cortical connectivity. We demonstrate small local circuit, particularly perisomatic inhibitory targeting, can have an important impact on EEG, without substantially affecting firing rates, suggesting useful constraining models.

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 Creative Commons
James B. Isbister, András Ecker, Christoph Pokorny

и другие.

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

Опубликована: Май 17, 2023

Summary 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

13
Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy DOI Creative Commons
Michael W. Reimann, Sirio Bolaños‐Puchet, Jean-Denis Courcol

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2022, Номер unknown

Опубликована: Авг. 15, 2022

Abstract The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also rich, interregional connectivity. We present a data-driven computational model anatomy non-barrel primary somatosensory cortex juvenile rat, integrating whole-brain scale data while providing cellular and subcellular specificity. consists 4.2 million morphologically detailed neurons, placed in digital brain atlas. They are connected 14.2 billion synapses, comprising local, mid-range extrinsic delineated limits determining connectivity from neuron morphology placement, finding that it reproduces targeting Sst+ requires additional specificity to reproduce PV+ VIP+ interneurons. Globally, was characterized local clusters tied together through hub neurons layer 5, demonstrating how interegional complicit, inseparable networks. suitable for simulation-based studies, 211,712 subvolume made openly available community.

Язык: Английский

Процитировано

8
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
Computational modeling reveals biological mechanisms underlying the whisker-flick EEG DOI Open Access
Joseph Tharayil, James B. Isbister, Esra Neufeld

и другие.

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

Опубликована: Дек. 17, 2024

Abstract Whisker flick stimulation is a commonly used protocol to investigate somatosensory processing in rodents. Neural activity the brain evoked by whisker flicks produces characteristic EEG waveform recorded at skull, known as potential. In this paper, we use silico modeling identify neural populations that serve sources and targets of synaptic currents contributing signal (presynaptic postsynaptic populations, respectively). The initial positive deflection driven largely direct thalamic inputs Layer 2/3 5 pyramidal cells, though interestingly, L5-L5 inhibition plays modulatory role, reducing amplitude width deflection. This suggests increasing thalamocortical connectivity decreasing may be responsible for some changes observed over course development. negative more complex mix sources, including both recurrent cortical connectivity. We demonstrate small local circuit, particularly perisomatic inhibitory targeting, can have an important impact on EEG, without substantially affecting firing rates, suggesting useful constraining models.

Язык: Английский

Процитировано

1