[HTML][HTML] From point process observations to collective neural dynamics: Nonlinear Hawkes process GLMs, low-dimensional dynamics and coarse graining
W Truccolo - Journal of Physiology-Paris, 2016 - Elsevier
This review presents a perspective on capturing collective dynamics in recorded neuronal
ensembles based on multivariate point process models, inference of low-dimensional …
ensembles based on multivariate point process models, inference of low-dimensional …
[HTML][HTML] Extraction of network topology from multi-electrode recordings: is there a small-world effect?
The simultaneous recording of the activity of many neurons poses challenges for
multivariate data analysis. Here, we propose a general scheme of reconstruction of the …
multivariate data analysis. Here, we propose a general scheme of reconstruction of the …
Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions
D Song, H Wang, CY Tu, VZ Marmarelis… - Journal of computational …, 2013 - Springer
One key problem in computational neuroscience and neural engineering is the identification
and modeling of functional connectivity in the brain using spike train data. To reduce model …
and modeling of functional connectivity in the brain using spike train data. To reduce model …
Sparse large-scale nonlinear dynamical modeling of human hippocampus for memory prostheses
In order to build hippocampal prostheses for restoring memory functions, we build sparse
multi-input, multi-output (MIMO) nonlinear dynamical models of the human hippocampus …
multi-input, multi-output (MIMO) nonlinear dynamical models of the human hippocampus …
Parameter estimation of binned Hawkes processes
L Shlomovich, EAK Cohen, N Adams… - … of Computational and …, 2022 - Taylor & Francis
A key difficulty that arises from real event data is imprecision in the recording of event time-
stamps. In many cases, retaining event times with a high precision is expensive due to the …
stamps. In many cases, retaining event times with a high precision is expensive due to the …
Transcriptome analyses of FY mutants reveal its role in mRNA alternative polyadenylation
A crucial step for mRNA polyadenylation is poly (A) signal recognition by trans-acting
factors. The mammalian cleavage and polyadenylation specificity factor (CPSF) complex …
factors. The mammalian cleavage and polyadenylation specificity factor (CPSF) complex …
Population burst propagation across interacting areas of the brain
For many perceptual and behavioral tasks, a prominent feature of neural spike trains
involves high firing rates across relatively short intervals of time. We call these events …
involves high firing rates across relatively short intervals of time. We call these events …
Bayesian nonparametric (non-) renewal processes for analyzing neural spike train variability
Neural spiking activity is generally variable, non-stationary, and exhibits complex
dependencies on covariates, such as sensory input or behavior. These dependencies have …
dependencies on covariates, such as sensory input or behavior. These dependencies have …
A universal probabilistic spike count model reveals ongoing modulation of neural variability
Neural responses are variable: even under identical experimental conditions, single neuron
and population responses typically differ from trial to trial and across time. Recent work has …
and population responses typically differ from trial to trial and across time. Recent work has …
[HTML][HTML] Neurons in primate visual cortex alternate between responses to multiple stimuli in their receptive field
K Li, V Kozyrev, S Kyllingsbæk, S Treue… - Frontiers in …, 2016 - frontiersin.org
A fundamental question concerning representation of the visual world in our brain is how a
cortical cell responds when presented with more than a single stimulus. We find supportive …
cortical cell responds when presented with more than a single stimulus. We find supportive …