Neuromodulation of Brain State and Behavior

Annual Review of Neuroscience, Journal Year: 2020, Volume and Issue: 43(1), P. 391 - 415

Published: April 6, 2020

Neural activity and behavior are both notoriously variable, with responses differing widely between repeated presentation of identical stimuli or trials. Recent results in humans animals reveal that these variations not random their nature, but may fact be due large part to rapid shifts neural, cognitive, behavioral states. Here we review recent advances the understanding waking state, how generated, they modulate neural mice humans. We propose brain has an identifiable set states through which it wanders continuously a nonrandom fashion, owing ascending modulatory fast-acting corticocortical subcortical-cortical pathways. These state provide backdrop upon operates, them is critical making progress revealing mechanisms underlying cognition behavior.

Language: Английский

---

Computational models link cellular mechanisms of neuromodulation to large-scale neural dynamics

Nature Neuroscience, Journal Year: 2021, Volume and Issue: 24(6), P. 765 - 776

Published: May 6, 2021

Language: Английский

---

Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent

eLife, Journal Year: 2021, Volume and Issue: 10

Published: Oct. 21, 2021

A hallmark of electrophysiological brain activity is its 1/f-like spectrum – power decreases with increasing frequency. The steepness this ‘roll-off’ approximated by the spectral exponent, which in invasively recorded neural populations reflects balance excitatory to inhibitory (E:I balance). Here, we first establish that exponent non-invasive electroencephalography (EEG) recordings highly sensitive general (i.e., anaesthesia-driven) changes E:I balance. Building on EEG as a viable marker E:I, then demonstrate sensitivity focus selective attention an experiment during participants detected targets simultaneous audio-visual noise. In addition these endogenous balance, exponents over auditory and visual sensory cortices also tracked stimulus exponents, respectively. Individuals’ degree stimulus–brain coupling predicted behavioural performance. Our results highlight rich information contained activity, providing window into diverse processes previously thought be inaccessible human recordings.

Language: Английский

---

Inhibitory stabilization and cortical computation

Nature reviews. Neuroscience, Journal Year: 2020, Volume and Issue: 22(1), P. 21 - 37

Published: Nov. 11, 2020

Language: Английский

---

The role of population structure in computations through neural dynamics

Nature Neuroscience, Journal Year: 2022, Volume and Issue: 25(6), P. 783 - 794

Published: June 1, 2022

Language: Английский

---

What is the dynamical regime of cerebral cortex?

Neuron, Journal Year: 2021, Volume and Issue: 109(21), P. 3373 - 3391

Published: Aug. 30, 2021

Language: Английский

---

Optimal anticipatory control as a theory of motor preparation: A thalamo-cortical circuit model

Neuron, Journal Year: 2021, Volume and Issue: 109(9), P. 1567 - 1581.e12

Published: March 30, 2021

Across a range of motor and cognitive tasks, cortical activity can be accurately described by low-dimensional dynamics unfolding from specific initial conditions on every trial. These "preparatory states" largely determine the subsequent evolution both neural behavior, their importance raises questions regarding how they are, or ought to be, set. Here, we formulate preparation as optimal anticipatory control future movements show that solution requires form internal feedback circuit dynamics. In contrast simple feedforward strategy, enables fast movement selectively controlling state in small subspace matters for upcoming movement. Feedback but not explains orthogonality between preparatory observed reaching monkeys. We propose model which is implemented thalamo-cortical loop gated basal ganglia.

Language: Английский

---

The functional role of cardiac activity in perception and action

Neuroscience & Biobehavioral Reviews, Journal Year: 2022, Volume and Issue: 137, P. 104655 - 104655

Published: April 5, 2022

SKORA, L.I., J.J.A. LIVERMORE and K. Roelofs. The functional role of cardiac activity in perception action. NEUROSCI BIOBEHAV REV X(X) XXX-XXX, 2022. Patterns continuously vary with environmental demands, accelerating or decelerating depending on circumstances. Simultaneously, cycle affects a host higher-order processes, where systolic baroreceptor activation largely impairs processing. However, unified perspective the signal action has been lacking. Here, we combine existing strands literature use threat-, anticipation-, error-related deceleration to show that is an adaptive mechanism dynamically attenuating associated each heartbeat minimise its impact exteroceptive This allows enhance attention afforded external prepare appropriate course Conversely, acceleration reduced need attend externally, enhanced tendencies behavioural readjustment. novel account demonstrates dynamic adjustments heart rate serve purpose regulating level precision internal versus evidence order optimise highlights importance behaviour lies regulation.

Language: Английский

---

The locus coeruleus broadcasts prediction errors across the cortex to promote sensorimotor plasticity

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

---

Dynamic predictive coding: A model of hierarchical sequence learning and prediction in the neocortex

PLoS Computational Biology, Journal Year: 2024, Volume and Issue: 20(2), P. e1011801 - e1011801

Published: Feb. 8, 2024

We introduce dynamic predictive coding, a hierarchical model of spatiotemporal prediction and sequence learning in the neocortex. The assumes that higher cortical levels modulate temporal dynamics lower levels, correcting their predictions using errors. As result, form representations encode sequences at shorter timescales (e.g., single step) while longer an entire sequence). tested this two-level neural network, where top-down modulation creates low-dimensional combinations set learned to explain input sequences. When trained on natural videos, lower-level neurons developed space-time receptive fields similar those simple cells primary visual cortex higher-level responses spanned timescales, mimicking response hierarchies cortex. Additionally, network’s representation exhibited both postdictive effects resembling observed motion processing humans flash-lag illusion). coupled with associative memory emulating role hippocampus, allowed episodic memories be stored retrieved, supporting cue-triggered recall activity extended three progressively more abstract along hierarchy. Taken together, our results suggest can interpreted as coding based generative world.

Language: Английский

---