fMRI reveals language-specific predictive coding during naturalistic sentence comprehension

Neuropsychologia, Journal Year: 2019, Volume and Issue: 138, P. 107307 - 107307

Published: Dec. 24, 2019

Language: Английский

---

Prediction and memory: A predictive coding account

Progress in Neurobiology, Journal Year: 2020, Volume and Issue: 192, P. 101821 - 101821

Published: May 21, 2020

The hippocampus is crucial for episodic memory, but it also involved in online prediction. Evidence suggests that a unitary hippocampal code underlies both memory and predictive processing, yet within coding framework the hippocampal-neocortical interactions accompany these two phenomena are distinct opposing. Namely, during recall, thought to exert an excitatory influence on neocortex, reinstate activity patterns across cortical circuits. This contrasts with empirical theoretical work where descending predictions suppress prediction errors 'explain away' ascending inputs via inhibition. In this hypothesis piece, we attempt dissolve previously overlooked dialectic. We consider how may facilitate respectively, by inhibiting neocortical or increasing their gain. propose processing modes depend upon neuromodulatory gain (or precision) ascribed error units. Within framework, recall cast as arising from fictive furnish training signals optimise generative models of world, absence sensory data.

Language: Английский

---

Movement and Performance Explain Widespread Cortical Activity in a Visual Detection Task

Cerebral Cortex, Journal Year: 2019, Volume and Issue: 30(1), P. 421 - 437

Published: Aug. 17, 2019

Abstract Recent studies in mice reveal widespread cortical signals during task performance; however, the various task-related and task-independent processes underlying this activity are incompletely understood. Here, we recorded wide-field neural activity, as revealed by GCaMP6s, from dorsal cortex while simultaneously monitoring orofacial movements, walking, arousal (pupil diameter) of head-fixed performing a Go/NoGo visual detection examined ability performance spontaneous or movements to predict activity. A linear model was able explain significant fraction (33–55% variance) widefield with largest factors being (facial, walk, eye), response choice (hit, miss, false alarm), indicate that trial-to-trial variability arises both changes state (e.g., arousal). Importantly, secondary motor highly correlated lick rate, critical for optimal (high d′), first region significantly on target trials. These findings suggest is critically involved decision learned variation results variations behavioral/arousal state.

Language: Английский

---

Opposing Influence of Top-down and Bottom-up Input on Excitatory Layer 2/3 Neurons in Mouse Primary Visual Cortex

Neuron, Journal Year: 2020, Volume and Issue: 108(6), P. 1194 - 1206.e5

Published: Oct. 21, 2020

Processing in cortical circuits is driven by combinations of and subcortical inputs. These inputs are often conceptually categorized as bottom-up, conveying sensory information, top-down, contextual information. Using intracellular recordings mouse primary visual cortex, we measured neuronal responses to input, locomotion, visuomotor mismatches. We show that layer 2/3 (L2/3) neurons compute a difference between top-down motor-related input bottom-up flow input. Most L2/3 responded mismatch with either hyperpolarization or depolarization, the size this response was correlated distinct physiological properties. Consistent subtraction had opposing influence on neurons. In infragranular neurons, found no evidence computation were consistent positive integration Our results provide functions bidirectional comparator

Language: Английский

---

Prediction signals in the cerebellum: Beyond supervised motor learning

eLife, Journal Year: 2020, Volume and Issue: 9

Published: March 24, 2020

While classical views of cerebellar learning have suggested that this structure predominantly operates according to an error-based supervised rule refine movements, emerging evidence suggests the cerebellum may also harness a wider range rules contribute variety behaviors, including cognitive processes. Together, such points broad role for circuits in generating and testing predictions about movement, reward, other non-motor operations. However, expanded view processing raises many new questions how apparent diversity function arises from with striking homogeneity. Hence, review will highlight both current predictive circuit extends beyond error-driven learning, as well open must be addressed unify our understanding function.

Language: Английский

---

The mouse prefrontal cortex: Unity in diversity

Neuron, Journal Year: 2021, Volume and Issue: 109(12), P. 1925 - 1944

Published: April 23, 2021

Language: Английский

---

Movement-Related Signals in Sensory Areas: Roles in Natural Behavior

Trends in Neurosciences, Journal Year: 2020, Volume and Issue: 43(8), P. 581 - 595

Published: June 22, 2020

Language: Английский

---

ERP and MEG correlates of visual consciousness: The second decade

Consciousness and Cognition, Journal Year: 2020, Volume and Issue: 80, P. 102917 - 102917

Published: March 16, 2020

Language: Английский

---

Neocortical Layer 1: An Elegant Solution to Top-Down and Bottom-Up Integration

Annual Review of Neuroscience, Journal Year: 2021, Volume and Issue: 44(1), P. 221 - 252

Published: March 17, 2021

Many of our daily activities, such as riding a bike to work or reading book in noisy cafe, and highly skilled professional playing tennis match violin concerto, depend upon the ability brain quickly make moment-to-moment adjustments behavior response results actions. Particularly, they neocortex integrate information provided by sensory organs (bottom-up information) with internally generated signals expectations attentional (top-down information). This integration occurs pyramidal cells (PCs) their long apical dendrite, which branches extensively into dendritic tuft layer 1 (L1). The outermost neocortex, L1 is conserved across cortical areas species. Importantly, predominant input for top-down information, relayed rich, dense mesh long-range projections that provide PCs. Here, we discuss recent progress understanding composition review evidence processing contributes functions perception, cross-modal integration, controlling states consciousness, attention, learning.

Language: Английский

---

Feedforward and feedback interactions between visual cortical areas use different population activity patterns

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: March 1, 2022

Brain function relies on the coordination of activity across multiple, recurrently connected brain areas. For instance, sensory information encoded in early areas is relayed to, and further processed by, higher cortical then fed back. However, way which feedforward feedback signaling interact with one another incompletely understood. Here we investigate this question by leveraging simultaneous neuronal population recordings midlevel visual (V1-V2 V1-V4). Using a dimensionality reduction approach, find that interactions are feedforward-dominated shortly after stimulus onset feedback-dominated during spontaneous activity. The patterns most correlated were distinct feedforward- periods. These results suggest rely separate "channels", allows signals to not directly affect forward.

Language: Английский

---