Michael Doron
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View article: CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging Open
We present a cellular microscopic image dataset for investigating channel-adaptive models. We collected and pre-processed images from three publicly available sources: 1) the WTC-11 hiPSC dataset from the Allen Institute (Viana et al., 202…
View article: DINO4cells example single cells
DINO4cells example single cells Open
This dataset contains 15k single cells taken from the Human Protein Project, as well as a csv file with their metadata.
View article: DINO4cells example single cells
DINO4cells example single cells Open
This dataset contains 15k single cells taken from the Human Protein Project, as well as a csv file with their metadata.
View article: Unbiased single-cell morphology with self-supervised vision transformers -- WTC11
Unbiased single-cell morphology with self-supervised vision transformers -- WTC11 Open
The data necessary to reproduce the WTC11 results in the paper Unbiased single-cell morphology with self-supervised vision transformers.
View article: Unbiased single-cell morphology with self-supervised vision transformers -- WTC11
Unbiased single-cell morphology with self-supervised vision transformers -- WTC11 Open
The data necessary to reproduce the WTC11 results in the paper Unbiased single-cell morphology with self-supervised vision transformers.
View article: Unbiased single-cell morphology with self-supervised vision transformers -- HPA FOV
Unbiased single-cell morphology with self-supervised vision transformers -- HPA FOV Open
The data necessary to reproduce the HPA FOV results in the paper Unbiased single-cell morphology with self-supervised vision transformers.
View article: Unbiased single-cell morphology with self-supervised vision transformers -- Cell Painting
Unbiased single-cell morphology with self-supervised vision transformers -- Cell Painting Open
The data necessary to reproduce the Cell Painting results in the paper Unbiased single-cell morphology with self-supervised vision transformers.
View article: Unbiased single-cell morphology with self-supervised vision transformers -- HPA single cells
Unbiased single-cell morphology with self-supervised vision transformers -- HPA single cells Open
The data necessary to reproduce the HPA single cells results in the paper Unbiased single-cell morphology with self-supervised vision transformers.
View article: Unbiased single-cell morphology with self-supervised vision transformers -- Cell Painting
Unbiased single-cell morphology with self-supervised vision transformers -- Cell Painting Open
The data necessary to reproduce the Cell Painting results in the paper Unbiased single-cell morphology with self-supervised vision transformers.
View article: Unbiased single-cell morphology with self-supervised vision transformers -- HPA FOV
Unbiased single-cell morphology with self-supervised vision transformers -- HPA FOV Open
The data necessary to reproduce the HPA FOV results in the paper Unbiased single-cell morphology with self-supervised vision transformers.
View article: Unbiased single-cell morphology with self-supervised vision transformers -- HPA single cells
Unbiased single-cell morphology with self-supervised vision transformers -- HPA single cells Open
The data necessary to reproduce the HPA single cells results in the paper Unbiased single-cell morphology with self-supervised vision transformers.
View article: Unbiased single-cell morphology with self-supervised vision transformers
Unbiased single-cell morphology with self-supervised vision transformers Open
Accurately quantifying cellular morphology at scale could substantially empower existing single-cell approaches. However, measuring cell morphology remains an active field of research, which has inspired multiple computer vision algorithms…
View article: Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy
Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy Open
Real-world deployment of computer vision systems, including in the discovery processes of biomedical research, requires causal representations that are invariant to contextual nuisances and generalize to new data. Leveraging the internal r…
View article: CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging Open
We present a cellular microscopic image dataset for investigating channel-adaptive models. We collected and pre-processed images from three publicly available sources: 1) the WTC-11 hiPSC dataset from the Allen Institute (Viana et al., 202…
View article: Synaptic Input and ACh Modulation Regulate Dendritic Ca<sup>2+</sup>Spike Duration in Pyramidal Neurons, Directly Affecting Their Somatic Output
Synaptic Input and ACh Modulation Regulate Dendritic Ca<sup>2+</sup>Spike Duration in Pyramidal Neurons, Directly Affecting Their Somatic Output Open
Nonlinear synaptic integration in dendrites is a fundamental aspect of neural computation. One such key mechanism is the Ca 2+ spike at the apical tuft of pyramidal neurons. Characterized by a plateau potential sustained for tens of millis…
View article: A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex
A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex Open
This dataset contains all (>1000) cell pairs as the Blue Brain Projects EModelRunner packages as well as analysis code and analysed data used for the figures of our preprint: "A calcium-based plasticity model predicts long-term potentiatio…
View article: A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex
A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex Open
This dataset contains all (>1000) cell pairs as the Blue Brain Projects EModelRunner packages as well as analysis code and analysed data used for the figures of our preprint: "A calcium-based plasticity model predicts long-term potentiatio…
View article: A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex
A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex Open
This dataset contains all (>1000) cell pairs as the Blue Brain Projects EModelRunner packages as well as analysis code and analysed data used for the figures of our preprint: "A calcium-based plasticity model predicts long-term potentiatio…
View article: A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex
A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex Open
This dataset contains all (>1000) cell pairs as the Blue Brain Projects EModelRunner packages as well as analysis code and analysed data used for the figures of our preprint: "A calcium-based plasticity model predicts long-term potentiatio…
View article: A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex
A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex Open
This dataset contains all (>1000) cell pairs as the Blue Brain Projects EModelRunner packages as well as analysis code and analysed data used for the figures of our preprint: "A calcium-based plasticity model predicts long-term potentiatio…
View article: A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex
A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex Open
This dataset contains all (>1000) cell pairs as the Blue Brain Projects EModelRunner packages as well as analysis code and analysed data used for the figures of our preprint: "A calcium-based plasticity model predicts long-term potentiatio…
View article: A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex
A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex Open
This dataset contains all (>1000) cell pairs as the Blue Brain Projects EModelRunner packages as well as analysis code and analysed data used for the figures of our preprint: "A calcium-based plasticity model predicts long-term potentiatio…
View article: E-Commerce Dispute Resolution Prediction
E-Commerce Dispute Resolution Prediction Open
E-Commerce marketplaces support millions of daily transactions, and some disagreements between buyers and sellers are unavoidable. Resolving disputes in an accurate, fast, and fair manner is of great importance for maintaining a trustworth…
View article: E-Commerce Dispute Resolution Prediction
E-Commerce Dispute Resolution Prediction Open
E-Commerce marketplaces support millions of daily transactions, and some\ndisagreements between buyers and sellers are unavoidable. Resolving disputes in\nan accurate, fast, and fair manner is of great importance for maintaining a\ntrustwo…
View article: A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex
A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex Open
Long-term potentiation (LTP) and long-term depression (LTD) of pyramidal cell connections are among the key mechanisms underlying learning and memory in the brain. Despite their important role, only a few of these connections have been cha…
View article: Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Models
Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Models Open
Scientific computational models are crucial for analyzing and understanding complex real-life systems that are otherwise difficult for experimentation. However, the complex behavior and the vast input-output space of these models often mak…
View article: Whole-neuron synaptic mapping reveals local balance between excitatory and inhibitory synapse organization
Whole-neuron synaptic mapping reveals local balance between excitatory and inhibitory synapse organization Open
SUMMARY The balance between excitatory and inhibitory (E and I) synaptic inputs is thought to be critical for information processing in neural circuits. However, little is known about the principles of spatial organization of E and I synap…