What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct 9. doi: 10.1007/s00422-023-00977-6. Online ahead of print.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct 9. doi: 10.1007/s00422-023-00977-6. Online ahead of print.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct 9. doi: 10.1007/s00422-023-00977-6. Online ahead of print.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct 9. doi: 10.1007/s00422-023-00977-6. Online ahead of print.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct 9. doi: 10.1007/s00422-023-00977-6. Online ahead of print.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct 9. doi: 10.1007/s00422-023-00977-6. Online ahead of print.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct 9. doi: 10.1007/s00422-023-00977-6. Online ahead of print.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct 9. doi: 10.1007/s00422-023-00977-6. Online ahead of print.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
What can computer vision learn from visual neuroscience? Introduction to the special issue
Biol Cybern. 2023 Oct 9. doi: 10.1007/s00422-023-00977-6. Online ahead of print.NO ABSTRACTPMID:37812267 | DOI:10.1007/s00422-023-00977-6 (Source: Biological Cybernetics)
Source: Biological Cybernetics - October 9, 2023 Category: Science Authors: Kexin Chen Hirak J Kashyap Jeffrey L Krichmar Xiumin Li Source Type: research
Single-compartment model of a pyramidal neuron, fitted to recordings with current and conductance injection
Biol Cybern. 2023 Sep 27. doi: 10.1007/s00422-023-00976-7. Online ahead of print.ABSTRACTFor single neuron models, reproducing characteristics of neuronal activity such as the firing rate, amplitude of spikes, and threshold potentials as functions of both synaptic current and conductance is a challenging task. In the present work, we measure these characteristics of regular spiking cortical neurons using the dynamic patch-clamp technique, compare the data with predictions from the standard Hodgkin-Huxley and Izhikevich models, and propose a relatively simple five-dimensional dynamical system model, based on threshold crite...
Source: Biological Cybernetics - September 27, 2023 Category: Science Authors: Anton V Chizhov Dmitry V Amakhin A Erdem Sagtekin Mathieu Desroches Source Type: research
Single-compartment model of a pyramidal neuron, fitted to recordings with current and conductance injection
Biol Cybern. 2023 Sep 27. doi: 10.1007/s00422-023-00976-7. Online ahead of print.ABSTRACTFor single neuron models, reproducing characteristics of neuronal activity such as the firing rate, amplitude of spikes, and threshold potentials as functions of both synaptic current and conductance is a challenging task. In the present work, we measure these characteristics of regular spiking cortical neurons using the dynamic patch-clamp technique, compare the data with predictions from the standard Hodgkin-Huxley and Izhikevich models, and propose a relatively simple five-dimensional dynamical system model, based on threshold crite...
Source: Biological Cybernetics - September 27, 2023 Category: Science Authors: Anton V Chizhov Dmitry V Amakhin A Erdem Sagtekin Mathieu Desroches Source Type: research
Single-compartment model of a pyramidal neuron, fitted to recordings with current and conductance injection
Biol Cybern. 2023 Sep 27. doi: 10.1007/s00422-023-00976-7. Online ahead of print.ABSTRACTFor single neuron models, reproducing characteristics of neuronal activity such as the firing rate, amplitude of spikes, and threshold potentials as functions of both synaptic current and conductance is a challenging task. In the present work, we measure these characteristics of regular spiking cortical neurons using the dynamic patch-clamp technique, compare the data with predictions from the standard Hodgkin-Huxley and Izhikevich models, and propose a relatively simple five-dimensional dynamical system model, based on threshold crite...
Source: Biological Cybernetics - September 27, 2023 Category: Science Authors: Anton V Chizhov Dmitry V Amakhin A Erdem Sagtekin Mathieu Desroches Source Type: research
Single-compartment model of a pyramidal neuron, fitted to recordings with current and conductance injection
Biol Cybern. 2023 Sep 27. doi: 10.1007/s00422-023-00976-7. Online ahead of print.ABSTRACTFor single neuron models, reproducing characteristics of neuronal activity such as the firing rate, amplitude of spikes, and threshold potentials as functions of both synaptic current and conductance is a challenging task. In the present work, we measure these characteristics of regular spiking cortical neurons using the dynamic patch-clamp technique, compare the data with predictions from the standard Hodgkin-Huxley and Izhikevich models, and propose a relatively simple five-dimensional dynamical system model, based on threshold crite...
Source: Biological Cybernetics - September 27, 2023 Category: Science Authors: Anton V Chizhov Dmitry V Amakhin A Erdem Sagtekin Mathieu Desroches Source Type: research
Single-compartment model of a pyramidal neuron, fitted to recordings with current and conductance injection
Biol Cybern. 2023 Sep 27. doi: 10.1007/s00422-023-00976-7. Online ahead of print.ABSTRACTFor single neuron models, reproducing characteristics of neuronal activity such as the firing rate, amplitude of spikes, and threshold potentials as functions of both synaptic current and conductance is a challenging task. In the present work, we measure these characteristics of regular spiking cortical neurons using the dynamic patch-clamp technique, compare the data with predictions from the standard Hodgkin-Huxley and Izhikevich models, and propose a relatively simple five-dimensional dynamical system model, based on threshold crite...
Source: Biological Cybernetics - September 27, 2023 Category: Science Authors: Anton V Chizhov Dmitry V Amakhin A Erdem Sagtekin Mathieu Desroches Source Type: research
Single-compartment model of a pyramidal neuron, fitted to recordings with current and conductance injection
Biol Cybern. 2023 Sep 27. doi: 10.1007/s00422-023-00976-7. Online ahead of print.ABSTRACTFor single neuron models, reproducing characteristics of neuronal activity such as the firing rate, amplitude of spikes, and threshold potentials as functions of both synaptic current and conductance is a challenging task. In the present work, we measure these characteristics of regular spiking cortical neurons using the dynamic patch-clamp technique, compare the data with predictions from the standard Hodgkin-Huxley and Izhikevich models, and propose a relatively simple five-dimensional dynamical system model, based on threshold crite...
Source: Biological Cybernetics - September 27, 2023 Category: Science Authors: Anton V Chizhov Dmitry V Amakhin A Erdem Sagtekin Mathieu Desroches Source Type: research
