Search Results - "Talmon, Ronen"
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1
Uncovering avalanche sources via acceleration measurements
Published in Nature communications (29-08-2024)“…Avalanche sources describe rapid and local events that govern deformation processes in various materials. The fundamental differences between an avalanche…”
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Empirical intrinsic geometry for nonlinear modeling and time series filtering
Published in Proceedings of the National Academy of Sciences - PNAS (30-07-2013)“…In this paper, we present a method for time series analysis based on empirical intrinsic geometry (EIG). EIG enables one to reveal the low-dimensional…”
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3
Cell-Type-Specific Outcome Representation in the Primary Motor Cortex
Published in Neuron (Cambridge, Mass.) (09-09-2020)“…Adaptive movements are critical for animal survival. To guide future actions, the brain monitors various outcomes, including achievement of movement and…”
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4
Parent–child couples display shared neural fingerprints while listening to stories
Published in Scientific reports (04-02-2024)“…Neural fingerprinting is a method to identify individuals from a group of people. Here, we established a new connectome-based identification model and used…”
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5
Audio source separation by activity probability detection with maximum correlation and simplex geometry
Published in EURASIP journal on audio, speech, and music processing (28-01-2021)“…Two novel methods for speaker separation of multi-microphone recordings that can also detect speakers with infrequent activity are presented. The proposed…”
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Graph of graphs analysis for multiplexed data with application to imaging mass cytometry
Published in PLoS computational biology (01-03-2021)“…Imaging Mass Cytometry (IMC) combines laser ablation and mass spectrometry to quantitate metal-conjugated primary antibodies incubated in intact tumor tissue…”
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7
An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning
Published in IEEE access (2018)“…Manifold-learning techniques are routinely used in mining complex spatiotemporal data to extract useful, parsimonious data representations/parametrizations;…”
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On Interference-Rejection Using Riemannian Geometry for Direction of Arrival Estimation
Published in IEEE transactions on signal processing (2024)“…We consider the problem of estimating the direction of arrival of desired acoustic sources in the presence of multiple acoustic interference sources. All the…”
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9
Local Canonical Correlation Analysis for Nonlinear Common Variables Discovery
Published in IEEE transactions on signal processing (01-03-2017)“…In this paper, we address the problem of hidden common variables discovery from multimodal data sets of nonlinear high-dimensional observations. We present a…”
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10
Parallel Transport on the Cone Manifold of SPD Matrices for Domain Adaptation
Published in IEEE transactions on signal processing (01-04-2019)“…In this paper, we consider the problem of domain adaptation. We propose to view the data through the lens of covariance matrices and present a method for…”
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Procrustes Analysis on the Manifold of SPSD Matrices for Data Sets Alignment
Published in IEEE transactions on signal processing (01-01-2023)“…In contemporary high-dimensional data analysis, intrinsically similar and related data sets are often significantly different due to various undesired factors…”
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12
Graph signal interpolation and extrapolation over manifold of Gaussian mixture
Published in Signal processing (01-03-2024)Get full text
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13
Identifying Topological Phase Transitions in Experiments Using Manifold Learning
Published in Physical review letters (18-09-2020)“…We demonstrate the identification of topological phase transitions from experimental data using diffusion maps: a nonlocal unsupervised machine learning…”
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14
Multimodal manifold learning using kernel interpolation along geodesic paths
Published in Information fusion (01-02-2025)“…In this paper, we present a new spectral analysis and a low-dimensional embedding of two aligned multimodal datasets. Our approach combines manifold learning…”
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15
Unsupervised Detection of Sub-Territories of the Subthalamic Nucleus During DBS Surgery with Manifold Learning
Published in IEEE transactions on biomedical engineering (01-04-2023)“…During Deep Brain Stimulation (DBS) surgery for treating Parkinson's disease, detecting the Subthalamic Nucleus (STN) and its sub-territory called the…”
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16
Source Counting and Separation Based on Simplex Analysis
Published in IEEE transactions on signal processing (15-12-2018)“…Blind source separation is addressed, using a novel data-driven approach, based on a well-established probabilistic model. The proposed method is specifically…”
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17
Multimodal latent variable analysis
Published in Signal processing (01-01-2018)“…•An algorithm extracting sensor-specific variables from measurements is proposed.•A theoretical analysis of this scheme is provided.•The algorithm is tested on…”
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18
Layer‐ and Cell‐Specific Recruitment Dynamics during Epileptic Seizures In Vivo
Published in Annals of neurology (01-01-2020)“…Objective To investigate the network dynamics mechanisms underlying differential initiation of epileptic interictal spikes and seizures. Methods We performed…”
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Kernel-Based Sensor Fusion With Application to Audio-Visual Voice Activity Detection
Published in IEEE transactions on signal processing (15-12-2016)“…In this paper, we address the problem of multiple view data fusion in the presence of noise and interferences. Recent studies have approached this problem…”
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Audio-Visual Voice Activity Detection Using Diffusion Maps
Published in IEEE/ACM transactions on audio, speech, and language processing (01-04-2015)“…The performance of traditional voice activity detectors significantly deteriorates in the presence of highly nonstationary noise and transient interferences…”
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