Control Theory ePosters

ePoster

An Analytical Theory of Cognitive Control of Learning

Valentina Njaradi, Rodrigo Carrasco-Davis and Andrew Saxe

Video and audio availableDOI 10.57736/6877-d157

COSYNE 2025cognitive controllearning rate schedulingoptimal controlintegrated non-linear learning dynamicsHamilton-Jacobi-Bellman equationhomotopy perturbation methodcognitive engagementtask noiseExpected Value of Controlnorepinephrine

ePoster

Why spikes? - Analyzing event-based and analog controllers

Luke Eilers and Jean-Pascal Pfister

Audio availableDOI 10.12751/nncn.bc2024.256

Bernstein 2024spiking neuronsevent-based controlanalog controlmotor neuronsmuscle fiberstwitch response kerneltarget force trajectoryproportional controlleaky integral control

ePoster

Redundancy in ion channel expression enables simple neuromodulatory strategies

Andrea Ramirez-Hincapie, Thiago Burghi and Timothy O'Leary

Audio availableDOI 10.12751/nncn.bc2024.062

Bernstein 2024ion channel expressionneuromodulatorsintrinsic neuronal propertieshomeostatic mechanismscalcium concentrationconductance-based model neuronsstomatogastric ganglionGauss-Newton update ruleintrinsic neuronal feedback gains

ePoster

Optimal control of oscillations and synchrony in nonlinear models of neural population dynamics

Lena Salfenmoser and Klaus Obermayer

Audio availableDOI 10.12751/nncn.bc2024.226

Bernstein 2024nonlinear optimal control theorynetwork synchronyneural population dynamicsoscillationsFourier costcross-correlation costvariance costexcitatory and inhibitory EIF neuronsadjoint method

ePoster

Neurons learn by predicting their synaptic inputs

Thiago Burghi, Timothy O'Leary and Rodolphe Sepulchre

Audio availableDOI 10.12751/nncn.bc2024.275

Bernstein 2024Contrastive Hebbian Learningbiophysical CHLspiking neural networkssynaptic input predictionmembrane potentialsynaptic currentsadaptive observersconductances

ePoster

Inhibition-controlled Hebbian learning unifies phenomenological and normative models of plasticity

Julian Rossbroich and Friedemann Zenke

Audio availableDOI 10.12751/nncn.bc2024.132

Bernstein 2024credit assignmentsynaptic plasticityinhibition-controlled plasticityHebbian learningrecurrent inhibitioninhibitory microcircuitsexcitatory plasticitydis-inhibitory afferentsadaptive control theorybackpropagation

ePoster

Force coupling leads to neural coordination via enviromental feedback

Claudius Gros, Elias Fischer and Bulcsu Sandor

Audio availableDOI 10.12751/nncn.bc2024.184

Bernstein 2024motor controllocal neural netssynaptic connectionsforce couplingreactive forcesembodied feedback loopself-organizing controlsimulated robotssynthetic musclesstable limit cycles

ePoster

A feedback control algorithm for online learning in Spiking Neural Networks and Neuromorphic devices

Matteo Saponati, Chiara De Luca, Giacomo Indiveri and Benjamin Grewe

Audio availableDOI 10.12751/nncn.bc2024.200

Bernstein 2024artificial neural networkserror-backpropagationspike-based local learningneuromorphic devicesonline learningcontrol feedback signalscredit assignmentneuromorphic circuitsevent-based encoding

ePoster

Defining the Limits: Upper Bound of Non-Neurobiological Treatment Efficacy through Cognitive-Neural Network Alignment

Bita Shariatpanahi and Hamidreza Jamalabadi

Audio availableDOI 10.12751/nncn.bc2024.043

Bernstein 2024mental disorderspsychotherapynon-neurobiological treatmentsnetwork control propertieswhole-brain fMRIvisual emotional stimuliemotional gradientscontrollabilityaverage controllability

ePoster

Synaptic low-rank modulation facilitates adaptation in cortical networks

Ivan Bulygin, James Ferguson and Tim Vogels

Audio availableDOI 10.57736/e9c1-4e05

COSYNE 2023neuromodulationsynaptic plasticitygain regulationsynaptic gatingconnectivity-tuningrecurrent neural networksmodulatory neuronssynaptic masksneurotransmitterstask variation

ePoster

The least-control principle for local learning at equilibrium

Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald and João Sacramento

Audio availableDOI 10.57736/1096-1bfd

COSYNE 2023synaptic plasticityoptimal control theorylocal plasticity rulesrecurrent neural networksleast-control principleactivity-dependent plasticitycontrol minimizationbackpropagation-of-errorfree-energy minimization

ePoster

Dynamical Neural Computation in Predictive Sensorimotor Control

Yun Chen, Yiheng Zhang and He Cui

Audio availableDOI 10.57736/f5e2-8035

COSYNE 2023motor cortexpredictive sensorimotor controlmanual interception taskneural population activitylow-dimensional ring-like neural geometryreach-direction clusterstarget-speed ringsplanning moduleexecution module

ePoster

Interaction of Conflict-Minimizing and Goal-Seeking Motor Imperatives Under Active Inference in Autism

Sundararaman Rengarajan

Video availableDOI 10.57736/nmc-e749-9b92

Neuromatch 5 · 2022active inferencevisual/proprioceptive conflictvirtual realityself-motionpredictive controlclosed-loop feedbackautism

ePoster

Sensory feedback can drive adaptation in motor cortex and facilitate generalization

Barbara Feulner, Matthew G. Perich, Lee E. Miller, Claudia Clopath and Juan A. Gallego

Video availableDOI 10.57736/ww-988a-c36c

COSYNE 2022motor cortexfeedback controlafferent sensory feedbackrecurrent neural networkonline output correctionsynaptic plasticityrecurrent connectivityvisuomotor rotationmotor learningneural population recordings

ePoster

Neural optimal feedback control with local learning rules

Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan Sengupta and Dmitri Chklovskii

Video availableDOI 10.57736/ww-a090-f497

COSYNE 2022optimal feedback controlsensory-motor controlKalman filteringpolicy gradient algorithmdelayed sensory feedbackinternal modelsystem identificationlocal synaptic plasticitycredit assignment problemreaching movements

ePoster

A cable-driven robotic eye for the study of oculomotor behaviors

Akhil John, Bernardo Dias, Reza Javanmard, John Van Opstal and Alexandre Bernardino

Video availableDOI 10.57736/ww-17dd-529d

COSYNE 2022extraocular muscleseye movementsDonders’ LawListing's planecable-driven robotic eyeopen-loop optimal controlsignal-dependent noisegaze orientationeye mechanics

ePoster

An Analytical Theory of Cognitive Control of Learning

Valentina Njaradi, Rodrigo Carrasco-Davis and Andrew Saxe

Video and audio availableDOI 10.57736/6877-d157

ePoster

Why spikes? - Analyzing event-based and analog controllers

Luke Eilers and Jean-Pascal Pfister

Audio availableDOI 10.12751/nncn.bc2024.256

Bernstein 2024spiking neuronsevent-based controlanalog controlmotor neuronsmuscle fiberstwitch response kerneltarget force trajectoryproportional controlleaky integral control

ePoster

Redundancy in ion channel expression enables simple neuromodulatory strategies

Andrea Ramirez-Hincapie, Thiago Burghi and Timothy O'Leary

Audio availableDOI 10.12751/nncn.bc2024.062

ePoster

Optimal control of oscillations and synchrony in nonlinear models of neural population dynamics

Lena Salfenmoser and Klaus Obermayer

Audio availableDOI 10.12751/nncn.bc2024.226

Bernstein 2024nonlinear optimal control theorynetwork synchronyneural population dynamicsoscillationsFourier costcross-correlation costvariance costexcitatory and inhibitory EIF neuronsadjoint method

ePoster

Neurons learn by predicting their synaptic inputs

Thiago Burghi, Timothy O'Leary and Rodolphe Sepulchre

Audio availableDOI 10.12751/nncn.bc2024.275

Bernstein 2024Contrastive Hebbian Learningbiophysical CHLspiking neural networkssynaptic input predictionmembrane potentialsynaptic currentsadaptive observersconductances

ePoster

Inhibition-controlled Hebbian learning unifies phenomenological and normative models of plasticity

Julian Rossbroich and Friedemann Zenke

Audio availableDOI 10.12751/nncn.bc2024.132

ePoster

Force coupling leads to neural coordination via enviromental feedback

Claudius Gros, Elias Fischer and Bulcsu Sandor

Audio availableDOI 10.12751/nncn.bc2024.184

Bernstein 2024motor controllocal neural netssynaptic connectionsforce couplingreactive forcesembodied feedback loopself-organizing controlsimulated robotssynthetic musclesstable limit cycles

ePoster

A feedback control algorithm for online learning in Spiking Neural Networks and Neuromorphic devices

Matteo Saponati, Chiara De Luca, Giacomo Indiveri and Benjamin Grewe

Audio availableDOI 10.12751/nncn.bc2024.200

ePoster

Defining the Limits: Upper Bound of Non-Neurobiological Treatment Efficacy through Cognitive-Neural Network Alignment

Bita Shariatpanahi and Hamidreza Jamalabadi

Audio availableDOI 10.12751/nncn.bc2024.043

Bernstein 2024mental disorderspsychotherapynon-neurobiological treatmentsnetwork control propertieswhole-brain fMRIvisual emotional stimuliemotional gradientscontrollabilityaverage controllability

ePoster

Synaptic low-rank modulation facilitates adaptation in cortical networks

Ivan Bulygin, James Ferguson and Tim Vogels

Audio availableDOI 10.57736/e9c1-4e05

COSYNE 2023neuromodulationsynaptic plasticitygain regulationsynaptic gatingconnectivity-tuningrecurrent neural networksmodulatory neuronssynaptic masksneurotransmitterstask variation

ePoster

The least-control principle for local learning at equilibrium

Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald and João Sacramento

Audio availableDOI 10.57736/1096-1bfd

ePoster

Dynamical Neural Computation in Predictive Sensorimotor Control

Yun Chen, Yiheng Zhang and He Cui

Audio availableDOI 10.57736/f5e2-8035

ePoster

Interaction of Conflict-Minimizing and Goal-Seeking Motor Imperatives Under Active Inference in Autism

Sundararaman Rengarajan

Video availableDOI 10.57736/nmc-e749-9b92

Neuromatch 5 · 2022active inferencevisual/proprioceptive conflictvirtual realityself-motionpredictive controlclosed-loop feedbackautism

ePoster

Sensory feedback can drive adaptation in motor cortex and facilitate generalization

Barbara Feulner, Matthew G. Perich, Lee E. Miller, Claudia Clopath and Juan A. Gallego

Video availableDOI 10.57736/ww-988a-c36c

ePoster

Neural optimal feedback control with local learning rules

Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan Sengupta and Dmitri Chklovskii

Video availableDOI 10.57736/ww-a090-f497

ePoster

A cable-driven robotic eye for the study of oculomotor behaviors

Akhil John, Bernardo Dias, Reza Javanmard, John Van Opstal and Alexandre Bernardino

Video availableDOI 10.57736/ww-17dd-529d

COSYNE 2022extraocular muscleseye movementsDonders’ LawListing's planecable-driven robotic eyeopen-loop optimal controlsignal-dependent noisegaze orientationeye mechanics

An Analytical Theory of Cognitive Control of Learning

Why spikes? - Analyzing event-based and analog controllers

Redundancy in ion channel expression enables simple neuromodulatory strategies

Optimal control of oscillations and synchrony in nonlinear models of neural population dynamics

Neurons learn by predicting their synaptic inputs

Inhibition-controlled Hebbian learning unifies phenomenological and normative models of plasticity

Force coupling leads to neural coordination via enviromental feedback

A feedback control algorithm for online learning in Spiking Neural Networks and Neuromorphic devices

Defining the Limits: Upper Bound of Non-Neurobiological Treatment Efficacy through Cognitive-Neural Network Alignment

Synaptic low-rank modulation facilitates adaptation in cortical networks

The least-control principle for local learning at equilibrium

Dynamical Neural Computation in Predictive Sensorimotor Control

Interaction of Conflict-Minimizing and Goal-Seeking Motor Imperatives Under Active Inference in Autism

Sensory feedback can drive adaptation in motor cortex and facilitate generalization

Neural optimal feedback control with local learning rules

A cable-driven robotic eye for the study of oculomotor behaviors

Topics

An Analytical Theory of Cognitive Control of Learning

Why spikes? - Analyzing event-based and analog controllers

Redundancy in ion channel expression enables simple neuromodulatory strategies

Optimal control of oscillations and synchrony in nonlinear models of neural population dynamics

Neurons learn by predicting their synaptic inputs

Inhibition-controlled Hebbian learning unifies phenomenological and normative models of plasticity

Force coupling leads to neural coordination via enviromental feedback

A feedback control algorithm for online learning in Spiking Neural Networks and Neuromorphic devices

Defining the Limits: Upper Bound of Non-Neurobiological Treatment Efficacy through Cognitive-Neural Network Alignment

Synaptic low-rank modulation facilitates adaptation in cortical networks

The least-control principle for local learning at equilibrium

Dynamical Neural Computation in Predictive Sensorimotor Control

Interaction of Conflict-Minimizing and Goal-Seeking Motor Imperatives Under Active Inference in Autism

Sensory feedback can drive adaptation in motor cortex and facilitate generalization

Neural optimal feedback control with local learning rules

A cable-driven robotic eye for the study of oculomotor behaviors

Topics