Supralinear dendritic integration in murine dendrite-targeting interneurons DOI Creative Commons
Simonas Griesius, Amy Richardson, Dimitri M. Kullmann

et al.

eLife, Journal Year: 2024, Volume and Issue: 13

Published: Sept. 16, 2024

Non-linear summation of synaptic inputs to the dendrites pyramidal neurons has been proposed increase computation capacity through coincidence detection, signal amplification, and additional logic operations such as XOR. Supralinear dendritic integration documented extensively in principal neurons, mediated by several voltage-dependent conductances. It also reported parvalbumin-positive hippocampal basket cells, innervated feedback excitatory synapses. Whether other interneurons, which support feed-forward or inhibition neuron dendrites, exhibit local non-linear excitation is not known. Here, we use patch-clamp electrophysiology, two-photon calcium imaging glutamate uncaging, show that supralinear near-synchronous spatially clustered glutamate-receptor depolarization occurs NDNF-positive neurogliaform cells oriens-lacunosum moleculare interneurons mouse hippocampus. was detected via recordings somatic depolarizations elicited uncaging on fragments, and, concurrent transients. Supralinearity abolished blocking NMDA receptors (NMDARs) but resisted blockade voltage-gated sodium channels. Blocking L-type channels signalling only had a minor effect voltage supralinearity. Dendritic boosting signals argues for previously unappreciated computational complexity dendrite-projecting inhibitory

Language: Английский

Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning DOI Creative Commons
Spyridon Chavlis, Panayiota Poirazi

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: Jan. 22, 2025

Artificial neural networks (ANNs) are at the core of most Deep Learning (DL) algorithms that successfully tackle complex problems like image recognition, autonomous driving, and natural language processing. However, unlike biological brains who similar in a very efficient manner, DL require large number trainable parameters, making them energy-intensive prone to overfitting. Here, we show new ANN architecture incorporates structured connectivity restricted sampling properties dendrites counteracts these limitations. We find dendritic ANNs more robust overfitting match or outperform traditional on several classification tasks while using significantly fewer parameters. These advantages likely result different learning strategy, whereby nodes respond multiple classes, classical strive for class-specificity. Our findings suggest incorporation can make precise, resilient, parameter-efficient shed light how features impact strategies ANNs.

Language: Английский

Citations

2
Degeneracy in epilepsy: multiple routes to hyperexcitable brain circuits and their repair DOI Creative Commons
Tristan M. Stöber, Danylo Batulin, Jochen Triesch

et al.

Communications Biology, Journal Year: 2023, Volume and Issue: 6(1)

Published: May 3, 2023

Abstract Due to its complex and multifaceted nature, developing effective treatments for epilepsy is still a major challenge. To deal with this complexity we introduce the concept of degeneracy field research: ability disparate elements cause an analogous function or malfunction. Here, review examples epilepsy-related at multiple levels brain organisation, ranging from cellular network systems level. Based on these insights, outline new multiscale population modelling approaches disentangle web interactions underlying design personalised multitarget therapies.

Language: Английский

Citations

31
Supralinear dendritic integration in murine dendrite-targeting interneurons DOI Creative Commons
Simonas Griesius, Amy Richardson, Dimitri M. Kullmann

et al.

eLife, Journal Year: 2025, Volume and Issue: 13

Published: Jan. 31, 2025

Non-linear summation of synaptic inputs to the dendrites pyramidal neurons has been proposed increase computation capacity through coincidence detection, signal amplification, and additional logic operations such as XOR. Supralinear dendritic integration documented extensively in principal neurons, mediated by several voltage-dependent conductances. It also reported parvalbumin-positive hippocampal basket cells, innervated feedback excitatory synapses. Whether other interneurons, which support feed-forward or inhibition neuron dendrites, exhibit local non-linear excitation is not known. Here, we use patch-clamp electrophysiology, two-photon calcium imaging glutamate uncaging, show that supralinear near-synchronous spatially clustered glutamate-receptor depolarization occurs NDNF-positive neurogliaform cells oriens-lacunosum moleculare interneurons mouse hippocampus. was detected via recordings somatic depolarizations elicited uncaging on fragments, and, concurrent transients. Supralinearity abolished blocking NMDA receptors (NMDARs) but resisted blockade voltage-gated sodium channels. Blocking L-type channels signalling only had a minor effect voltage supralinearity. Dendritic boosting signals argues for previously unappreciated computational complexity dendrite-projecting inhibitory

Language: Английский

Citations

1
A data-based large-scale model for primary visual cortex enables brain-like robust and versatile visual processing DOI Creative Commons
Guozhang Chen, Franz Scherr, Wolfgang Maass

et al.

Science Advances, Journal Year: 2022, Volume and Issue: 8(44)

Published: Nov. 2, 2022

We analyze visual processing capabilities of a large-scale model for area V1 that arguably provides the most comprehensive accumulation anatomical and neurophysiological data to date. find this brain-like neural network can reproduce number characteristic brain, in particular capability solve diverse tasks, also on temporally dispersed information, with remarkable robustness noise. This model, whose architecture neurons markedly differ from those deep networks used current artificial intelligence (AI), such as convolutional (CNNs), reproduces coding properties which explanations its superior noise robustness. Because is substantially more energy efficient brain compared CNNs AI, are likely have an impact future technology: blueprints energy-efficient neuromorphic hardware.

Language: Английский

Citations

33
A Neurophilosophy of Libertarian Free Will DOI
Peter U. Tse

Oxford University Press eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: July 10, 2024

Abstract A Neurophilosophy of Libertarian Free Will presents a defense libertarian free will that is informed by neuroscience, physics and philosophy. It argues causation in living systems dominated cybernetic feedback loops criterial reparameterizations help animals find adequate ways fulfilling their goals. Humans have two kinds will, one which concerned with the ability to weigh options shared other complex animals. The second kind envisioning new self then working toward realizing vision over extended durations. argued imagination, not downstream behavior, where action will.

Language: Английский

Citations

8
Dynorphin / kappa-opioid receptor regulation of excitation-inhibition balance toggles afferent control of prefrontal cortical circuits in a pathway-specific manner DOI Creative Commons
Héctor E. Yarur, Sanne M. Casello, Valerie S. Tsai

et al.

Molecular Psychiatry, Journal Year: 2023, Volume and Issue: 28(11), P. 4801 - 4813

Published: Aug. 29, 2023

Abstract The medial prefrontal cortex (mPFC) controls behavior via connections with limbic excitatory afferents that engage various inhibitory motifs to shape mPFC circuit function. dynorphin (Dyn) / kappa-opioid receptor (KOR) system is highly enriched in the mPFC, and its dysregulation implicated neuropsychiatric disorders. However, it unclear how Dyn KOR modulates circuits are integral for information processing behavioral control. Here, we provide a circuit-based framework wherein signaling regulates excitation-inhibition balance by toggling which drive neurons. regulation of afferent inputs pathway-specific. acting on presynaptic KORs inhibits glutamate release from including basolateral amygdala (BLA), paraventricular nucleus thalamus, contralateral cortex. majority synapses neurons, those ventral hippocampus (VH), do not express KOR, rendering them insensitive modulation. also suppresses afferent-driven recruitment specific sub-networks, providing basis disinhibit circuits. Specifically, preferentially SST interneuron- relative PV interneuron-mediated inhibition. Selective action or within microcircuits gates distinct spiking Presynaptic decreases KOR-positive input-driven (e.g. BLA) In contrast, KOR-negative input neurons enhanced suppression microcircuits. Thus, elements, shifts negative control circuits, mechanistic insights into role neuropeptides shaping Together, these findings highlight utility targeting as means treat disorders characterized integration long-range local

Language: Английский

Citations

14
Layer 1 neocortex: Gating and integrating multidimensional signals DOI Creative Commons
Shuhan Huang, Jingjing Sherry Wu, Giulia Sansone

et al.

Neuron, Journal Year: 2023, Volume and Issue: 112(2), P. 184 - 200

Published: Oct. 31, 2023

Language: Английский

Citations

14
Auditory Corticofugal Neurons Transmit Auditory and Non-auditory Information During Behavior DOI Creative Commons
Alexander N. Ford, Jordyn E. Czarny, Meike M. Rogalla

et al.

Journal of Neuroscience, Journal Year: 2023, Volume and Issue: 44(7), P. e1190232023 - e1190232023

Published: Dec. 8, 2023

Layer 5 pyramidal neurons of sensory cortices project "corticofugal" axons to myriad sub-cortical targets, thereby broadcasting high-level signals important for perception and learning. Recent studies suggest

Language: Английский

Citations

13
NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways DOI Creative Commons
Willem A. M. Wybo, Matthias C. Tsai, Viet Anh Tran

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2023, Volume and Issue: 120(32)

Published: July 31, 2023

While sensory representations in the brain depend on context, it remains unclear how such modulations are implemented at biophysical level, and processing layers further hierarchy can extract useful features for each possible contextual state. Here, we demonstrate that dendritic N-Methyl-D-Aspartate spikes can, within physiological constraints, implement modulation of feedforward processing. Such neuron-specific exploit prior knowledge, encoded stable weights, to achieve transfer learning across contexts. In a network biophysically realistic neuron models with context-independent show modulatory inputs branches solve linearly nonseparable problems Hebbian, error-modulated rule. We also local prediction whether originate either from different inputs, or same input, results representation hierarchical weights accommodate multitude

Language: Английский

Citations

12
Delta opioid receptors engage multiple signaling cascades to differentially modulate prefrontal GABA release with input and target specificity DOI Creative Commons
Ryan P.D. Alexander, Kevin J. Bender

Cell Reports, Journal Year: 2025, Volume and Issue: 44(2), P. 115293 - 115293

Published: Feb. 1, 2025

Opioids regulate circuits associated with motivation and reward across the brain. Of opioid receptor types, delta receptors (DORs) appear to have a unique role in regulating activity of related without liability for abuse. In neocortex, DORs are expressed primarily interneurons, including parvalbumin- somatostatin-expressing interneurons that inhibit somatic dendritic compartments excitatory pyramidal cells, respectively. But how transmission from these key interneuron classes is unclear. We found inhibition using different G-protein signaling pathways both converge on presynaptic calcium channels but distinct aspects channel function. This imposes temporal filtering effects, via short-term plasticity, depend regulated. Thus, engage differential cascades depending postsynaptic target compartment, effects synaptic information transfer domains.

Language: Английский

Citations

0