Predictive coding model can detect novelty on different levels of representation hierarchy DOI Creative Commons
Tianbin Li, Mufeng Tang, Rafał Bogacz

et al.

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

Published: June 10, 2024

Abstract Novelty detection, also known as familiarity discrimination or recognition memory, refers to the ability distinguish whether a stimulus has been seen before. It hypothesized that novelty detection can naturally arise within networks store memory learn efficient neural representation, because these already information on familiar stimuli. However, computational models instantiating this hypothesis have not shown reproduce high capacity of human so it is unclear if feasible. This paper demonstrates predictive coding, which an established model previously effectively support representation learning and discriminate with capacity. Predictive coding includes neurons encoding prediction errors, we show produce higher activity for novel stimuli, be decoded from their activity. Moreover, hierarchical uniquely perform at varying abstraction levels across hierarchy, i.e., they detect both low-level features, higher-level objects. Overall, unify associative single framework.

Language: Английский

Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex DOI Creative Commons
Casey M Schneider-Mizell, Ágnes L. Bodor, Derrick Brittain

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 24, 2023

Mammalian cortex features a vast diversity of neuronal cell types, each with characteristic anatomical, molecular and functional properties. Synaptic connectivity powerfully shapes how type participates in the cortical circuit, but mapping rules at resolution distinct types remains difficult. Here, we used millimeter-scale volumetric electron microscopy 1 to investigate all inhibitory neurons across densely-segmented population 1352 cells spanning layers mouse visual cortex, producing wiring diagram connections more than 70,000 synapses. Taking data-driven approach inspired by classical neuroanatomy, classified based on relative targeting dendritic compartments other developed novel classification excitatory morphological synaptic input The between revealed class disinhibitory specialist basket cells, addition familiar subclasses. Analysis onto found widespread specificity, many interneurons exhibiting differential certain subpopulations spatially intermingled potential targets. Inhibitory was organized into “motif groups,” diverse sets that collectively target both perisomatic same Collectively, our analysis identified new organizing principles for inhibition will serve as foundation linking modern multimodal atlases diagram.

Language: Английский

Citations

60

The locus coeruleus broadcasts prediction errors across the cortex to promote sensorimotor plasticity DOI Creative Commons
Rebecca Jordan, Georg B. Keller

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

Published: Jan. 25, 2023

Prediction errors are differences between expected and actual sensory input thought to be key computational signals that drive learning related plasticity. One way prediction could is by activating neuromodulatory systems gate The catecholaminergic locus coeruleus (LC) a major system involved in neuronal plasticity the cortex. Using two-photon calcium imaging mice exploring virtual environment, we found activity of LC axons cortex correlated with magnitude unsigned visuomotor errors. response profiles were similar both motor visual cortical areas, indicating broadcast throughout dorsal While layer 2/3 primary cortex, optogenetic stimulation facilitated stimulus-specific suppression responses during locomotion. This - induced minutes recapitulated effect on scale normally observed development across days. We conclude activity, facilitates sensorimotor consistent role modulating rates.

Language: Английский

Citations

49

Inhibitory specificity from a connectomic census of mouse visual cortex DOI Creative Commons
Casey M Schneider-Mizell, Ágnes L. Bodor, Derrick Brittain

et al.

Nature, Journal Year: 2025, Volume and Issue: 640(8058), P. 448 - 458

Published: April 9, 2025

Mammalian cortex features a vast diversity of neuronal cell types, each with characteristic anatomical, molecular and functional properties1. Synaptic connectivity shapes how type participates in the cortical circuit, but mapping rules at resolution distinct types remains difficult. Here we used millimetre-scale volumetric electron microscopy2 to investigate all inhibitory neurons across densely segmented population 1,352 cells spanning layers mouse visual cortex, producing wiring diagram inhibition more than 70,000 synapses. Inspired by classical neuroanatomy, classified based on targeting dendritic compartments developed an excitatory neuron classification reconstructions whole-cell maps synaptic input. Single-cell showed class disinhibitory specialist that targets basket cells. Analysis onto found widespread specificity, many interneurons exhibiting differential spatially intermingled subpopulations. Inhibitory was organized into 'motif groups', diverse sets collectively target both perisomatic same targets. Collectively, our analysis identified new organizing principles for will serve as foundation linking contemporary multimodal atlases diagram.

Language: Английский

Citations

6

A suite of enhancer AAVs and transgenic mouse lines for genetic access to cortical cell types DOI Creative Commons
Yoav Ben‐Simon, Marcus Hooper, Sujatha Narayan

et al.

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

Published: June 10, 2024

The mammalian cortex is comprised of cells classified into types according to shared properties. Defining the contribution each cell type processes guided by essential for understanding its function in health and disease. We used transcriptomic epigenomic cortical taxonomies from mouse human define marker genes putative enhancers created a large toolkit transgenic lines enhancer AAVs selective targeting populations. report evaluation fifteen new driver lines, two reporter >800 different covering most subclasses cells. tools reported here as well scaled process tool creation modification enable diverse experimental strategies towards brain function.

Language: Английский

Citations

11

Brain-body physiology: Local, reflex, and central communication DOI Creative Commons
Megan Sammons, M Popescu, Jingyi Chi

et al.

Cell, Journal Year: 2024, Volume and Issue: 187(21), P. 5877 - 5890

Published: Oct. 1, 2024

Language: Английский

Citations

7

Computational components of visual predictive coding circuitry DOI Creative Commons
Stewart Shipp

Frontiers in Neural Circuits, Journal Year: 2024, Volume and Issue: 17

Published: Jan. 8, 2024

If a full visual percept can be said to ‘hypothesis’, so too neural ‘prediction’ – although the latter addresses one particular component of image content (such as 3-dimensional organisation, interplay between lighting and surface colour, future trajectory moving objects, on). And, because processing is hierarchical, predictions generated at level are conveyed in backward direction lower level, seeking predict, fact, activity that prior stage processing, learning from errors signalled opposite direction. This essence ‘predictive coding’, once an algorithm for information theoretical basis nature operations performed by cerebral cortex. Neural models implementation predictive coding invoke specific functional classes neuron generating, transmitting receiving predictions, producing reciprocal error signals. Also third general class, ‘precision’ neurons, tasked with regulating magnitude signals contingent upon confidence placed prediction, i.e., reliability behavioural utility sensory data it predicts. So, what ultimate source ‘prediction’? The answer multifactorial: knowledge current environmental context immediate past, allied memory lifetime experience way world, doubtless fine-tuned evolutionary history too. There are, consequence, numerous potential avenues experimenters manipulate subjects’ expectation, examine elicited surprising, less surprising stimuli. review focuses physiology mouse monkey cortex, summarising commenting on evidence date, placing broader field. It concluded has firm grounding basic neuroscience that, unsurprisingly, there remains much learn.

Language: Английский

Citations

4

Multimodal mismatch responses in mouse auditory cortex DOI Open Access
Magdalena Sołyga, Georg B. Keller

Published: Jan. 28, 2025

Our movements result in predictable sensory feedback that is often multimodal. Based on deviations between predictions and actual input, primary areas of cortex have been shown to compute sensorimotor prediction errors. How errors one modality influence the computation another still unclear. To investigate multimodal mouse auditory (ACx), we used a virtual environment experimentally couple running both self-generated visual feedback. Using two-photon microscopy, first characterized responses layer 2/3 (L2/3) neurons sounds, stimuli, onsets found all three stimuli. Probing evoked by audiomotor mismatches, they closely resemble visuomotor mismatch (V1). Finally, testing for cross modal coupling sound amplitude flow speed running, were amplified when paired with concurrent mismatches. results demonstrate non-hierarchical interactions shape error cortical L2/3.

Language: Английский

Citations

0

Multimodal mismatch responses in mouse auditory cortex DOI Creative Commons
Magdalena Sołyga, Georg B. Keller

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

Published: Feb. 10, 2025

Our movements result in predictable sensory feedback that is often multimodal. Based on deviations between predictions and actual input, primary areas of cortex have been shown to compute sensorimotor prediction errors. How errors one modality influence the computation another still unclear. To investigate multimodal mouse auditory cortex, we used a virtual environment experimentally couple running both self-generated visual feedback. Using two-photon microscopy, first characterized responses layer 2/3 (L2/3) neurons sounds, stimuli, onsets found all three stimuli. Probing evoked by audiomotor (AM) mismatches, they closely resemble visuomotor (VM) mismatch (V1). Finally, testing for cross modal AM coupling sound amplitude flow speed running, were amplified when paired with concurrent VM mismatches. results demonstrate non-hierarchical interactions shape error cortical L2/3.

Language: Английский

Citations

0

Cell-type-specific manifold analysis discloses independent geometric transformations in the hippocampal spatial code DOI
Julio Esparza, Juan Pablo Quintanilla, Elena Cid

et al.

Neuron, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0

Integrating multimodal data to understand cortical circuit architecture and function DOI
Anton Arkhipov, Nuno Maçarico da Costa, Saskia de Vries

et al.

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

Published: March 24, 2025

Language: Английский

Citations

0