Thursday June 1 (3-5pm) Abstracts here
Each poster presenter will have a MAXIMUM of 48in. by 48in. of space. We recommend presenters use a standard A0 portrait size (841mm by 1189mm) OR (33.1in by 46.8in).

1. Cesar Uribe. The dynamical and structural properties of a random neural network are affected by its directed assortativity profiles
2. Gecia Bravo Hermsdorff and Lee Gunderson. Extending spectral sparsification of graphs
3. Ryan Pyle. Supervised Learning Trained by Rewarded Exploration: A learning rule for reservoir computing
4. Michael Kordovan. Consequences of network topologies for dynamical stability of networks and their correlations
5. Chi Zhang. Structural and dynamic properties of neural networks with robust associative memory recall in the presence of fluctuations in neuron firing
6. Cody Baker. Inferring latent variability in neural populations
7. Rodrigo Felipe de Oliveira Pena. Determination of the spike-train second-order power spectrum statistics in heterogeneous spiking networks 8. Argha Mondal. Fractional order excitable neural system with bidirectional coupling
9. Epaminondas Rosa. Period doubling bifurcation transitions in synchronous model neurons
10. Jacob Duncan. Breaking the vicious limit cycle: Addiction relapse-recovery as a fast-slow dynamical system
11. Randolph Leiser. Frequency Response Alternating Map: A mutually forced approach to resonant networks
12. Sorinel Oprisan. Predicting phase-locked modes with the generalized phase response curve
13. Casey Diekman. Entrainment maps: A new tool for understanding circadian oscillators
14. Cecilia Diniz Behn. A map-based approach to understanding bifurcations in a model of sleep-wake behavior
15. Fatemeh Bahari. Estimation of hidden dynamics in nonlinear systems for predicting sleep-wake states
16. Yogatheesan Varatharajah. Interictal seizure localization using unsupervised clustering and Bayesian filtering
17. Sarah Marzen. Weak universality in sensory tradeoffs
18. Amirali Farokhniaee. Deep brain stimulation driven synaptic depletion is a robust phenomenon independent of synapse type
19. Ariadne Costa. Correlations induced by depressing synapses in quenched critically self-organized networks
20. Pascal Helson. A simple spiking neuron model based on stochastic STDP
21. Ehsan Mirzakhalili. Synaptic deficiencies and robustness of excitatory neuronal networks
22. Eric Yeh. Inducing rule-like learning in connectionist architectures
23. Olivia Gozel. A functional role for the switch from excitation to inhibition in neurogenesis
24. Emily Stone. Effect of short-term synaptic plasticity on information processing in hippocampal interneurons
25. Rosangela Follmann. Functional connectivity in a motor control center using correlation analysis
26. Helga Mazyar. A computational account of the development of a preferred retinal locus
27. Lindsay Fields. Developing a predictive model for compulsivity in individuals with OCD
28. Venkat Ramaswamy. An algorithmic question concerning the experimental interrogation of neural circuits
29. James Riehl. Energy landscapes of the brain during wakefulness and general anesthesia
30. Sorinel Oprisan. Nonlinear dynamics analysis of optogenetic data
31. Ning Mei. Optimizing parameters used in a signal processing approach to detect spindles
32. Matthew Moye. Data assimilation and electrophysiological modeling of mammalian circadian clock neurons
33. Kathryn McClain. Decoding 2D environment from dCA1 while learning a spatial memory task
34. Sorinel Oprisan. Computational modeling of hippocampus lesions during time perception
35. Asohan Amarasingham. Calibrated nonparametric analysis of monosynaptic interactions from extracellular spike trains
36. Songting Li. The characterization of hippocampal interneurons — a time delayed mutual information approach
37. Kathleen Champion. Comparing dynamical models for brain-wide cortical activity
38. Francois G. Meyer. Learning the dynamics of epileptogenesis
39. Rodica Curtu. Evidence accumulation and dynamic mechanisms of percept switching in auditory streaming
40. Anirban Nandi. Phasic response motifs are optimal for persistent detections
41. Sarah Marzen. Utilizing local discrete structure for perceptual distortion in natural images
42. Benoit Duchet. Analysis of the effects of deep brain stimulation in a mathematical model of coupled excitatory and inhibitory neural populations
43. Thomas Peters. Geometry and topology for discrete dynamics of neurodevelopment
44. Hannah Bos. Ratio of slow and fast synaptic currents regulates synchrony of population rate activity in a spiking layered cortical network model
45. Grégory Dumont. Macroscopic phase-resetting curve of spiking neural networks: Theory and application
46. Laureline Logiaco. A dynamic theory for populations of adapting non-linear neurons explains log-normal instantaneous firing rate distributions and disambiguates mean vs. variance-driven firing
47. Pavel Alejandro Flores. A lateral inhibition model of the Hermann grid illusion beyond Baumgartner’s theory
48. Cheng Ly. A theoretical framework for analyzing coupled neuronal networks: Application to the olfactory system
49. Ho Ka Chan. Odor processing in a biophysical model of the early olfactory system of honeybees
50. Abed Ghanbari. Modeling dispersion improves decoding of population neural responses
51. Ho Ka Chan. Firing probability for a noisy LIF neuron receiving arbitrary external currents
52. Jennifer Creaser. Mathematical modeling of noise-induced escape in networks of coupled bistable units
53. Romain Veltz. Quasi-synchronization in a stochastic spiking neural network
54. Ryosuke Hosaka. Strange neuronal responses to fluctuating inputs
55. Rainer Engelken and Fred Wolf. Dimensionality and entropy rate of chaotic rate network dynamics
56. Evelyn Buckwar. Efficent numerical integration and nonlinear filtering of a stochastic Jansen and Rit model
57. Gillian Queisser. Ultra-structural simulations of electro-chemical signals through dendritic spines
58. Tzyy-Leng Horng. Cable type model and its application on action potential propagation in a myelinated axon
59. Cris Garrish. Simulated spatial dependence in action potential propagation