Behavior-relevant top-down cross-modal predictions in mouse neocortex

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

Опубликована: Апрель 3, 2023

Abstract Animals rely on predicting their environment and the consequences of actions to adapt a constantly changing world. The predictive coding hypothesis proposes that brain generates predictions continuously compares them with bottom-up sensory inputs guide behavior. However, how reconciles conflicting top-down information during behavior remains unclear. To address this question, we simultaneously imaged neuronal populations in mouse somatosensory cortex posterior parietal an auditory-cued texture discrimination task. After mice learnt task fixed tone-texture matching, mismatched pairing caused tone-based actual inputs. When interaction was dominant, representations both areas were modified decided based predicted rather than texture, whereas dominant corrected as well behavioral choice. Our findings provide evidence for hierarchical neocortex open new avenues understanding higher cognitive functions.

Язык: Английский

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Novelty detection in an auditory oddball task on freely moving rats

Communications Biology, Год журнала: 2023, Номер 6(1)

Опубликована: Окт. 19, 2023

The relative importance or saliency of sensory inputs depend on the animal's environmental context and behavioural responses to these same can vary over time. Here we show how freely moving rats, trained discriminate between deviant tones embedded in a regular pattern repeating stimuli different variations classic oddball paradigm, detect tones, this discriminability resembles properties that are typical neuronal adaptation described previous studies. Moreover, auditory brainstem response (ABR) latency decreases after training, finding consistent with notion animals develop type plasticity stimuli. Our study suggests existence form long-term memory may modulate level according its relevance, sets ground for future experiments will help disentangle functional mechanisms govern habituation relation adaptation.

Язык: Английский

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Basal ganglia-cortical connectivity underlies self-regulation of brain oscillations in humans

Communications Biology, Год журнала: 2022, Номер 5(1)

Опубликована: Июль 16, 2022

Abstract Brain-computer interfaces provide an artificial link by which the brain can directly interact with environment. To achieve fine brain-computer interface control, participants must modulate patterns of cortical oscillations generated from motor and somatosensory cortices. However, it remains unclear how humans regulate oscillations, controllability substantially varies across individuals. Here, we performed simultaneous electroencephalography (to assess control) functional magnetic resonance imaging measure activity) in healthy participants. Self-regulation induced activity basal ganglia-cortical network neurofeedback control network. Successful self-regulation correlated striatal network, through were likely modulated. Moreover, connectivity strong weak self-regulation, respectively. The findings indicate that is important for understanding should help advance technology.

Язык: Английский

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Sustained EEG responses to rapidly unfolding stochastic sounds reflect precision tracking

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

Опубликована: Янв. 8, 2024

Abstract The brain is increasingly viewed as a statistical learning machine, where our sensations and decisions arise from the intricate interplay between bottom-up sensory signals constantly changing expectations regarding surrounding world. Which statistics does track while monitoring rapid progression of information? Here, by combining EEG (three experiments N≥22 each) computational modelling, we examined how processes stochastic sound sequences that simulate key aspects dynamic environments. Passively listening participants were exposed to structured tone-pip arrangements contained transitions range patterns. Predictions guided Bayesian predictive inference model. We demonstrate listeners automatically unfolding sounds, even when these are irrelevant behaviour. Transitions sequence patterns drove an increase sustained response. This was observed distributional statistics, in situations behavioural detection at floor. These observations suggest modulation response reflects universal process belief updating within brain. By establishing connection outputs model responses, dynamics transition-related responses align with tracking ‘precision’ – confidence or reliability assigned predicted signal - shedding light on brain’s mechanisms its dynamics.

Язык: Английский

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Stability and learning in excitatory synapses by nonlinear inhibitory plasticity

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

Опубликована: Март 29, 2022

Abstract Synaptic changes underlie learning and memory formation in the brain. But synaptic plasticity of excitatory synapses on its own is unstable, leading to unlimited growth strengths without additional homeostatic mechanisms. To control we propose a novel form at inhibitory synapses. We identify two key features plasticity, dominance inhibition over excitation nonlinear dependence firing rate postsynaptic neurons whereby change same direction as strengths. demonstrate that stable realized by this achieve fixed excitatory/inhibitory set-point agreement with experimental results. Applying disinhibitory signal can gate lead generation receptive fields strong bidirectional connectivity recurrent network. Hence, simultaneously stabilize enable upon disinhibition.

Язык: Английский

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