Constant sub-second cycling between representations of possible futures in the hippocampus

K Kay, JE Chung, M Sosa, JS Schor, MP Karlsson… - Cell, 2020 - cell.com
Cognitive faculties such as imagination, planning, and decision-making entail the ability to
represent hypothetical experience. Crucially, animal behavior in natural settings implies that …

Clusterless decoding of position from multiunit activity using a marked point process filter

X Deng, DF Liu, K Kay, LM Frank, UT Eden - Neural computation, 2015 - direct.mit.edu
Point process filters have been applied successfully to decode neural signals and track
neural dynamics. Traditionally these methods assume that multiunit spiking activity has …

Detection of alteration zones using the Dirichlet process Stick-Breaking model-based clustering algorithm to hyperion data: the case study of Kuh-Panj porphyry …

M Yousefi, SH Tabatabaei, R Rikhtehgaran… - Geocarto …, 2022 - Taylor & Francis
Detection of hydrothermal alteration zones (HAZs) associated with porphyry copper systems
using remote sensing imagery is a crucial stage for discovering high potential zone of ore …

Complementary spatial firing in place cell–interneuron pairs

B Hangya, Y Li, RU Muller… - The Journal of physiology, 2010 - Wiley Online Library
The hippocampal formation plays a pivotal role in representing the physical environment.
While CA1 pyramidal cells display sharply tuned location‐specific firing, the activity of many …

Rapid classification of hippocampal replay content for real-time applications

X Deng, DF Liu, MP Karlsson… - Journal of …, 2016 - journals.physiology.org
Sharp-wave ripple (SWR) events in the hippocampus replay millisecond-timescale patterns
of place cell activity related to the past experience of an animal. Interrupting SWR events …

A point-process matched filter for event detection and decoding from population spike trains

N Sadras, B Pesaran… - Journal of neural …, 2019 - iopscience.iop.org
Objective. Information encoding in neurons can be described through their response fields.
The spatial response field of a neuron is the region of space in which a sensory stimulus or a …

A comparison study of point-process filter and deep learning performance in estimating rat position using an ensemble of place cells

MR Rezaei, AK Gillespie, JA Guidera… - 2018 40th Annual …, 2018 - ieeexplore.ieee.org
The emergence of deep learning techniques has provided new tools for the analysis of
complex data in the field of neuroscience. In parallel, advanced statistical approaches like …

Real-time point process filter for multidimensional decoding problems using mixture models

MR Rezaei, K Arai, LM Frank, UT Eden… - Journal of neuroscience …, 2021 - Elsevier
There is an increasing demand for a computationally efficient and accurate point process
filter solution for real-time decoding of population spiking activity in multidimensional …

Estimating a dynamic state to relate neural spiking activity to behavioral signals during cognitive tasks

X Deng, RT Faghih, R Barbieri… - 2015 37th Annual …, 2015 - ieeexplore.ieee.org
An important question in neuroscience is understanding the relationship between high-
dimensional electrophysiological data and complex, dynamic behavioral data. One general …

Efficient decoding of multi-dimensional signals from population spiking activity using a Gaussian mixture particle filter

A Yousefi, AK Gillespie, JA Guidera… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
New recording technologies and the potential for closed-loop experiments have led to an
increasing demand for computationally efficient and accurate algorithms to decode …