Recurrent architecture for adaptive regulation of learning in the insect brain.

08:00 EDT 23rd March 2020 | BioPortfolio

Summary of "Recurrent architecture for adaptive regulation of learning in the insect brain."

Dopaminergic neurons (DANs) drive learning across the animal kingdom, but the upstream circuits that regulate their activity and thereby learning remain poorly understood. We provide a synaptic-resolution connectome of the circuitry upstream of all DANs in a learning center, the mushroom body of Drosophila larva. We discover afferent sensory pathways and a large population of neurons that provide feedback from mushroom body output neurons and link distinct memory systems (aversive and appetitive). We combine this with functional studies of DANs and their presynaptic partners and with comprehensive circuit modeling. We find that DANs compare convergent feedback from aversive and appetitive systems, which enables the computation of integrated predictions that may improve future learning. Computational modeling reveals that the discovered feedback motifs increase model flexibility and performance on learning tasks. Our study provides the most detailed view to date of biological circuit motifs that support associative learning.


Journal Details

This article was published in the following journal.

Name: Nature neuroscience
ISSN: 1546-1726


DeepDyve research library

PubMed Articles [19015 Associated PubMed Articles listed on BioPortfolio]

Learning predictive structure without a teacher: decision strategies and brain routes.

Extracting the structure of complex environments is at the core of our ability to interpret the present and predict the future. This skill is important for a range of behaviours from navigating a new ...

Learning spatiotemporal signals using a recurrent spiking network that discretizes time.

Learning to produce spatiotemporal sequences is a common task that the brain has to solve. The same neural substrate may be used by the brain to produce different sequential behaviours. The way the br...

Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network (VS-DBN).

It has been recently shown that deep learning models such as convolutional neural networks (CNN), deep belief networks (DBN) and recurrent neural networks (RNN), exhibited remarkable ability in modeli...

Alpha down-regulation neurofeedback training effects on implicit motor learning and consolidation.

Implicit motor learning, which is a non-conscious form of learning characterized by motor performance improvement with practice, plays an essential role in various daily activities. Earlier study usin...

Self-adaptive STDP-based learning of a spiking neuron with nanocomposite memristive weights.

Neuromorphic systems consisting of artificial neurons and memristive synapses could provide a much better performance and a significantly more energy-efficient approach to the implementation of differ...

Clinical Trials [11757 Associated Clinical Trials listed on BioPortfolio]

A Trial to Evaluate Multiple Regimens in Newly Diagnosed and Recurrent Glioblastoma

Glioblastoma (GBM) adaptive, global, innovative learning environment (GBM AGILE) is an international, seamless Phase II/III response adaptive randomization platform trial designed to evalu...

Determining the Complete Protection Time of an Insect Repellent With 30% Citriodiol® Against Three Species of Ticks.

This study evaluates the length of time an insect repellent product can protect against three species of ticks. Participants will have one arm treated with the repellent, and throughout th...

Association of Eye With Hepatobiliary Disorders :Qualitative Analysis Via Deep Learning

Artificial Intelligence and Machine Learning techniques may provide insight into exploring the potential covert association behind and reveal some early ocular architecture changes in indi...

Cognitive Training for the Remediation of Functional Brain Health in HIV

Cognitive deficits in HIV reflect degraded brain network functioning that may be amenable to remediation through cognitive training. In this sub-study, we will make use of Plasticity-based...

Trial of Adaptive Deep Brain Stimulation

Currently, treatment of Parkinson's Disease with deep brain stimulation (DBS) uses continuous high frequency stimulation. The investigators have previously shown that by controlling the st...

Medical and Biotech [MESH] Definitions

Process in which individuals take the initiative, in diagnosing their learning needs, formulating learning goals, identifying resources for learning, choosing and implementing learning strategies and evaluating learning outcomes (Knowles, 1975)

A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.

Behavioral treatment that uses drill and practice, compensatory and adaptive strategies to facilitate improvement in targeted learning areas.

Adjustment of BRAIN WAVES from two or more neuronal groups within or across a brain structure (e.g., cortical and limbic brain structures) to become uniform in EEG oscillation patterns in response to a stimulus. It is interpreted as a brain integration sign during many processes such as learning, memory, and perception and involves reciprocal neural connections.

Free-standing or supported light weight meshwork fabric made of cotton, silk, polyester or other material having openings too small to allow entry of mosquitoes or other insects, thereby protecting against INSECT BITES; INSECT STINGS, and insect-borne diseases.

Quick Search

DeepDyve research library

Relevant Topic

Biological Therapy
Biological therapy involves the use of living organisms, substances derived from living organisms, or laboratory-produced versions of such substances to treat disease. Some biological therapies for cancer use vaccines or bacteria to stimulate the body&rs...

Searches Linking to this Article