ICMNS 2024 - Poster Sessions

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Poster Session 1

Tuesday the 11th of June at 16:30, Gardiner Atrium

  • Robert Allen - Phase-Isostable Reduction of Oscillatory Neural Mass Networks with Delays in local dynamics and network connections

  • Diego Becerra - Information integration (Φ-ID) and high order interactions in Caenorhabditis elegans sleep-wakefulness neural dynamics

  • Kosio Beshkov - Towards a Topological Classification of Representations in Neural Networks

  • Oliver Cattell - Travelling fronts in a generalised neural field model that couples to the extracellular space

  • Jordan Culp - A Markovian neural barcode representing mesoscale cortical spatiotemporal dynamics

  • Michel Davydov - Propagation of chaos and Poisson Hypothesis for replica-mean-field models of intensity-based neural networks

  • Rodrigo Echeveste - Calibrated variational inference for low-level visual perception

  • Luc Falorsi - Population density dynamics of spiking neurons with absolute refractory period

  • Niamh Fennelly - Mean-field approximations for networks with synaptic plasticity

  • Camille Godin - Deciphering the Effects of Transcranial Electrical Stimulation with an Izhikevich Spiking Network

  • Ruaraí Goodfellow - Stability Analysis of the Coombes-Byrne Model

  • Maria Guasch-Morgades - Multiparameter optimization for whole-brain model personalization

  • Ryosuke Hosaka - Liquid state machines with inhibitory synaptic STDP learning

  • Akke Mats Houben Excitation-to-inhibition ratio determines pattern forming instability type in networks of pulse coupled phase oscillators

  • Henry Kerr - Analysing travelling waves & wave packets in laterally-inhibited grids of integrate-and-fire neurons

  • Fernando Lehue - Emergence and occupation of dynamical brain states in different states of consciousness using a biophysical model

  • Èlia Lleal-Custey - Modeling plasticity for Neural Mass Models under tES

  • Pedro Maia - Terminal patterns: a data-driven analysis of the brain's last signals

  • Ana Mayora-Cebollero - Bifurcation and Arnol'd tongue structure of a next generation neural mass model: the effect of gap junction coupling

  • Carmen Mayora-Cebollero - Adaptive Coupling in Mean-Field Models of Neural Populations

  • Khadija Meddouni - The Numerical Solution of Stochastic Neural Field Problems

  • Nima Mirkhani - Mathematical model of coupled oscillators to predict the effects of phase-locked stimulation

  • Morten Gram Pedersen - Revisiting mixed-mode oscillations due to mutual inhibition in neuronal systems

  • Rashid Safura Shomali - Higher-order interactions reveal the hidden shared motifs across mouse brain regions

  • Lena Salfenmoser - Optimal control of oscillations and synchrony in nonlinear models of neural population dynamics

  • Natalie Schieferstein - Linear response of escape-noise models depending on hazard function

  • Oleg Senkevich - Stochastic gene expression drives correlated synaptic noise

  • Bhanu Sharma - Emergent dynamics in an astrocyte-neuronal network coupled via nitric oxide

  • Ronja Strömsdörfer - The Wilson-Cowan neural field model with non-linear adaptation for traveling waves of slow oscillations

  • Hélène Todd - The role of gap junctions and clustered connectivity in emergent synchronisation patterns of spiking inhibitory neuronal networks

  • Hannah van Susteren - A biophysical model of neuronal dynamics and synaptic transmission during energy deprivation

  • Xiaoqi Xu - Analysis on EEG spatiotemporal patterns via Laplacian eigenmodes

  • Viktoria Zemliak - Continual familiarity detection in spiking neural networks

Poster Session 2

Wednesday the 12th of June at 16:30, Gardiner Atrium

  • Daniele Andrean - The Schwann cell hug: mere support or active player in the neuromuscular junction’s efficiency?

  • Logan Becker - Full moment and co-variability analysis of conductance-based neuron models

  • Rebecca Brady - Recurrent Cortical Detection Models to Assess Multisensory Mechanisms in an Audio-Visual Reaction-Time Task

  • John Butler - Mathematical Modelling of Visual-Vestibular Neuronal Processing and Behavioural Responses

  • Jennifer Crodelle - A functional role for stage II retinal waves on the receptive field development of neurons in primary visual cortex

  • Farzaneh Darki - Touch stimulation to enhance separation of sound sources

  • Rosa Maria Delicado Moll - Excitatory and Inhibitory synaptic conductances. How can they be estimated?

  • Jérôme Emonet - A Retino-cortical model of anticipation

  • Matthew Fellows - Reduced descriptions of oscillatory neural field models via higher order phase interaction functions

  • Richard Foster - Modeling human temporal EEG responses to VR visual stimuli

  • Sven Goedeke - A time-resolved theory of chaos suppression and information encoding in recurrent neural networks

  • Nils Erik Greveni - Mesoscopic dynamics of spiking neural networks with stochastic rewiring

  • Ryosuke Hosaka - Liquid state machines with inhibitory synaptic STDP learning

  • Devika Khurana - First-passage times of SDEs to curved boundaries

  • Pedro Lima - Existence results and estimates for neural fields with diffusion

  • Matteo Martin - Analysis of Mixed-Mode Oscillations in Cortical Neurons: the role of M and HCN channels

  • Victor Matveev - Effects of Ca2+ buffers with multiple binding sites on Ca2+ signals and synaptic facilitation

  • James McAllister - Heterosynaptic plasticity rules induce small-world topologies

  • Hil Meijer - On choosing activation functions for neural fields

  • Diego Pazó - Discontinuous transition to chaos in a canonical random neural network

  • Alina Podschun - Does the rich club control brain state transitions? A network control theoretical investigation

  • Georg Reich - Temporally Asymmetric Hebbian Learning is All You Need for Forward and Reverse Replay

  • Flavio R. Rusch - Topology Influence on the Critical Behavior of Modular Hierarchical Networks of Stochastic Neurons

  • Maria Luisa Saggio - Bifurcations and bursting in the Epileptor

  • Kazuya Sawada - Detecting causality between neural spike trains by mutual prediction of inter-spike intervals

  • Helmut Schmidt - The effect of frequency filtering and noise on functional brain connectivity and its relation to brain structure

  • Andrew Shannon - Next Generation Neural Mass Models Reproduce Features of Neural Speech Processing.

  • Brian Skelly - A mean field model for beta bursts and non-averaged neural data

  • Anna Thomas - Computational model investigating the role of rodent substantia nigra pars reticulata projections to pedunculopontine nucleus in long-term motor recovery in Parkinsonian rodents

  • Ka Nap Tse - Understanding Neuronal Clustering through Evolution of Adaptation Distribution

  • Yota Tsukamoto - Outstanding pattern discrimination ability of spatiotemporal learning rule

  • Vizcaíno Pablo García - Validating the use of simplified models for studying gap junction coupling in the brain

  • Marius Yamakou - Diversity-Induced Decoherence in a Slow-Fast Neuron Model