Chief of Internal Affairs
The duties that come under the purview of this post are -
To manage and monitor all internal activities being run as a part of Project Encephalon.
Bring innovative and inspired ideas to the table and implement them as well for the benefit of Project Encephalon, keeping in mind the ethos of the organisation.
Link: Project Encephalon
#Neuroscience #positions
Follow: @theTuringMachine
The duties that come under the purview of this post are -
To manage and monitor all internal activities being run as a part of Project Encephalon.
Bring innovative and inspired ideas to the table and implement them as well for the benefit of Project Encephalon, keeping in mind the ethos of the organisation.
Link: Project Encephalon
#Neuroscience #positions
Follow: @theTuringMachine
Google Docs
Chief of Internal Affairs
The duties that come under the purview of this post are -
To manage and monitor all internal activities being run as a part of Project Encephalon.
Bring innovative and inspired ideas to the table and implement them as well for the benefit of Project Encephalon…
To manage and monitor all internal activities being run as a part of Project Encephalon.
Bring innovative and inspired ideas to the table and implement them as well for the benefit of Project Encephalon…
Forwarded from Python4Finance
pyecon.pdf
2.8 MB
اسلایدهای درس «پایتون برای اقتصادسنجی در اقتصاد»
این اسلایدها مربوط به ارائه Fabian H. C. Raters در دانشگاه Goettingen است. مطالب به صورت خلاصه و مفید ارائه شده است. همچنین فایل های notebook و تمرین هایی برای خودآزمایی در سایت دوره موجود است.
اسلایدها در ضمیمه این پست قرار داده شده است.
سایت دوره
#اسلاید
#اقتصاد
#پایتون_مالی
@python4finance
این اسلایدها مربوط به ارائه Fabian H. C. Raters در دانشگاه Goettingen است. مطالب به صورت خلاصه و مفید ارائه شده است. همچنین فایل های notebook و تمرین هایی برای خودآزمایی در سایت دوره موجود است.
اسلایدها در ضمیمه این پست قرار داده شده است.
سایت دوره
#اسلاید
#اقتصاد
#پایتون_مالی
@python4finance
ADNI: Understanding Alzheimer’s disease through collaboration and data sharing
Of the many outstanding mysteries of neuroscience, the pathogenic origins of
Alzheimer’s disease (AD) remain one of the most perplexing neurological
puzzles. An estimated 5.7 million Americans are presently afflicted with the
disease, which gradually
Read More: [ Link ]
#articles
Follow: @theTuringMachine
Of the many outstanding mysteries of neuroscience, the pathogenic origins of
Alzheimer’s disease (AD) remain one of the most perplexing neurological
puzzles. An estimated 5.7 million Americans are presently afflicted with the
disease, which gradually
Read More: [ Link ]
#articles
Follow: @theTuringMachine
The Official PLOS Blog
The Official PLOS Blog - The Official PLOS Blog covers PLOS initiatives that address our core principles.
“Synthesizing excitement: a new way your brain makes glutamate” by Samuel Rose
A recent report in Cell details a new way that the brain synthesizes
glutamate, originating from sun exposure, no less. The research raises the
question, do we really know how the brain makes one of
Read More: [ Link ]
#articles
Follow: @theTuringMachine
A recent report in Cell details a new way that the brain synthesizes
glutamate, originating from sun exposure, no less. The research raises the
question, do we really know how the brain makes one of
Read More: [ Link ]
#articles
Follow: @theTuringMachine
The Official PLOS Blog
The Official PLOS Blog - The Official PLOS Blog covers PLOS initiatives that address our core principles.
Ayahuasca: Ritual psychedelic turns modern-day anti-depressant
For any of the 300 million individuals worldwide suffering from depression, a
fast-acting, effective treatment can mean the difference between life and
death. Yet despite the growing number of pharmaceutical agents advertising
relief from sadness,
Read More: [ Link ]
#articles
Follow: @theTuringMachine
For any of the 300 million individuals worldwide suffering from depression, a
fast-acting, effective treatment can mean the difference between life and
death. Yet despite the growing number of pharmaceutical agents advertising
relief from sadness,
Read More: [ Link ]
#articles
Follow: @theTuringMachine
The Official PLOS Blog
The Official PLOS Blog - The Official PLOS Blog covers PLOS initiatives that address our core principles.
How the brain learns to read: development of the “word form area”
The ability to recognize, process and interpret written language is a uniquely
human skill that is acquired with remarkable ease at a young age. But as
anyone who has attempted to learn a new language
Read More: [ Link ]
#articles
Follow: @theTuringMachine
The ability to recognize, process and interpret written language is a uniquely
human skill that is acquired with remarkable ease at a young age. But as
anyone who has attempted to learn a new language
Read More: [ Link ]
#articles
Follow: @theTuringMachine
The Official PLOS Blog
The Official PLOS Blog - The Official PLOS Blog covers PLOS initiatives that address our core principles.
Tweaking synapses
Nature Reviews Neuroscience, Published online: 28 September 2020;
doi:10.1038/s41583-020-00389-6
Strengthening of the developing retinogeniculate circuit in mouse pups is
promoted by a neuronal receptor and locally restricted by the microglial
release of the receptor’s ligand.
Read More: [ Source ]
#articles
Follow: @theTuringMachine
Nature Reviews Neuroscience, Published online: 28 September 2020;
doi:10.1038/s41583-020-00389-6
Strengthening of the developing retinogeniculate circuit in mouse pups is
promoted by a neuronal receptor and locally restricted by the microglial
release of the receptor’s ligand.
Read More: [ Source ]
#articles
Follow: @theTuringMachine
Nature Reviews Neuroscience
Tweaking synapses
Strengthening of the developing retinogeniculate circuit in mouse pups is promoted by a neuronal receptor and locally restricted by the microglial release of the receptor’s ligand.
https://twitter.com/oritpeleg/status/1312074215571419137?s=20
APS March meeting is happening online this year (March 15-19), and we have a Focus Session alert!
Physics of Social Interactions: Work on interactions between organisms or on inanimate interactions that mimic social ones
Organized by @oritpeleg &
@greg_stephens
Please RT!
#events
Follow: @theTuringMachine
APS March meeting is happening online this year (March 15-19), and we have a Focus Session alert!
Physics of Social Interactions: Work on interactions between organisms or on inanimate interactions that mimic social ones
Organized by @oritpeleg &
@greg_stephens
Please RT!
#events
Follow: @theTuringMachine
Open science: Sharing is caring, but is privacy theft? by David Mehler and Kevin Weiner
Open Science (OS) is a movement toward increased sharing among scientists of
their data, their materials, their computer code, their papers, and their peer
reviews. The ultimate goal of this movement is to boost collaborative
Read More: [ Link ]
#articles
Follow: @theTuringMachine
Open Science (OS) is a movement toward increased sharing among scientists of
their data, their materials, their computer code, their papers, and their peer
reviews. The ultimate goal of this movement is to boost collaborative
Read More: [ Link ]
#articles
Follow: @theTuringMachine
The Official PLOS Blog
The Official PLOS Blog - The Official PLOS Blog covers PLOS initiatives that address our core principles.
CALL FOR PAPERS
Reinforcement learning (RL) algorithms learn through rewards and a process of trial-and-error. This approach is strongly inspired by the study of animal behaviour and has led to outstanding achievements.
Link: Google Site
#events
Follow: @theTuringMachine
Reinforcement learning (RL) algorithms learn through rewards and a process of trial-and-error. This approach is strongly inspired by the study of animal behaviour and has led to outstanding achievements.
Link: Google Site
#events
Follow: @theTuringMachine
https://www.probabilisticworld.com/frequentist-bayesian-approaches-inferential-statistics/
#spare_time
#spare_time
Probabilistic World
Frequentist and Bayesian Approaches in Statistics
What is statistics about? Well, imagine you obtained some data from a particular collection of things. It could be the heights of individuals within a group of people, the weights of cats in a clowder, the number of petals in a bouquet of flowers, and so…
Mapping gut neurons
Nature Reviews Neuroscience, Published online: 24 September 2020;
doi:10.1038/s41583-020-00386-9
Mapping gut neurons
Read More: [ Source ]
#articles
Follow: @theTuringMachine
Nature Reviews Neuroscience, Published online: 24 September 2020;
doi:10.1038/s41583-020-00386-9
Mapping gut neurons
Read More: [ Source ]
#articles
Follow: @theTuringMachine
Nature Reviews Neuroscience
Mapping gut neurons
GENE EXPRESSION
Fractional infinite-horizon optimal control problems with a feed forward neural network scheme
Volume 30, Issue 1-4, February - November 2019, Page 125-147
.
Read More: [ Source ]
#articles
Follow: @theTuringMachine
Volume 30, Issue 1-4, February - November 2019, Page 125-147
.
Read More: [ Source ]
#articles
Follow: @theTuringMachine
Taylor & Francis
Fractional infinite-horizon optimal control problems with a feed forward neural network scheme
(2019). Fractional infinite-horizon optimal control problems with a feed forward neural network scheme. Network: Computation in Neural Systems: Vol. 30, No. 1-4, pp. 125-147.
Alternative continuous- and discrete-time neural networks for image restoration
Volume 30, Issue 1-4, February - November 2019, Page 107-124
.
Read More: [ Source ]
#articles
Follow: @theTuringMachine
Volume 30, Issue 1-4, February - November 2019, Page 107-124
.
Read More: [ Source ]
#articles
Follow: @theTuringMachine
Taylor & Francis
Alternative continuous- and discrete-time neural networks for image restoration
(2019). Alternative continuous- and discrete-time neural networks for image restoration. Network: Computation in Neural Systems: Vol. 30, No. 1-4, pp. 107-124.
Retrospective Evaluation of Sequential Events and the Influence of Preference-Dependent Working Memory: A Computational Examination
Humans organize sequences of events into a single overall experience, and
evaluate the aggregated experience as a whole, such as a generally pleasant
dinner, movie, or trip. However, such evaluations are potentially
computationally taxing, and so our brains must employ heuristics (i.e.,
approximations). For example, the peak-end rule hypothesis suggests that we
average the peaks and end of a sequential event vs. integrating every moment.
However, there is no general model to test viable hypotheses quantitatively.
Here, we propose a general model and test among multiple specific ones, while
also examining the role of working memory. The models were tested with a novel
picture-rating task. We first compared averaging across entire sequences vs.
the peak-end heuristic. Correlation tests indicated that averaging prevailed,
with peak and end both still having significant prediction power. Given this,
we developed generalized order-dependent and relative-preference-dependent
models to subsume averaging, peak and end. The combined model improved the
prediction power. However, based on limitations of relative-
preference—including imposing a potentially arbitrary ranking among
preferences—we introduced an absolute-preference-dependent model, which
successfully explained the remembered utilities. Yet, because using all
experiences in a sequence requires too much memory as real-world settings
scale, we then tested “windowed” models, i.e., evaluation within a specified
window. The windowed (absolute) preference-dependent (WP) model explained the
empirical data with long sequences better than without windowing. However,
because fixed-windowed models harbor their own limitations—including an
inability to capture peak-event influences beyond a fixed window—we then
developed discounting models. With (absolute) preference-dependence added to
the discounting rate, the results showed that the discounting model reflected
the actual working memory of the participants, and that the preference-
dependent discounting (PD) model described different features from the WP
model. Taken together, we propose a combined WP-PD model as a means by which
people evaluate experiences, suggesting preference-dependent working-memory as
a significant factor underlying our evaluations.
Read More: [ Source ]
#articles
Follow: @theTuringMachine
Humans organize sequences of events into a single overall experience, and
evaluate the aggregated experience as a whole, such as a generally pleasant
dinner, movie, or trip. However, such evaluations are potentially
computationally taxing, and so our brains must employ heuristics (i.e.,
approximations). For example, the peak-end rule hypothesis suggests that we
average the peaks and end of a sequential event vs. integrating every moment.
However, there is no general model to test viable hypotheses quantitatively.
Here, we propose a general model and test among multiple specific ones, while
also examining the role of working memory. The models were tested with a novel
picture-rating task. We first compared averaging across entire sequences vs.
the peak-end heuristic. Correlation tests indicated that averaging prevailed,
with peak and end both still having significant prediction power. Given this,
we developed generalized order-dependent and relative-preference-dependent
models to subsume averaging, peak and end. The combined model improved the
prediction power. However, based on limitations of relative-
preference—including imposing a potentially arbitrary ranking among
preferences—we introduced an absolute-preference-dependent model, which
successfully explained the remembered utilities. Yet, because using all
experiences in a sequence requires too much memory as real-world settings
scale, we then tested “windowed” models, i.e., evaluation within a specified
window. The windowed (absolute) preference-dependent (WP) model explained the
empirical data with long sequences better than without windowing. However,
because fixed-windowed models harbor their own limitations—including an
inability to capture peak-event influences beyond a fixed window—we then
developed discounting models. With (absolute) preference-dependence added to
the discounting rate, the results showed that the discounting model reflected
the actual working memory of the participants, and that the preference-
dependent discounting (PD) model described different features from the WP
model. Taken together, we propose a combined WP-PD model as a means by which
people evaluate experiences, suggesting preference-dependent working-memory as
a significant factor underlying our evaluations.
Read More: [ Source ]
#articles
Follow: @theTuringMachine
Frontiers
Retrospective Evaluation of Sequential Events and the Influence of Preference-Dependent Working Memory: A Computational Examination
Humans organize sequences of events into a single overall experience, and evaluate the aggregated experience as a whole, such as a generally pleasant dinner, movie, or trip. However, such evaluations are potentially computationally taxing, and so our brains…
A Computational Model of the Cholinergic Modulation of CA1 Pyramidal Cell Activity
Dysfunction in cholinergic modulation has been linked to a variety of
cognitive disorders including Alzheimer's disease. The important role of this
neurotransmitter has been explored in a variety of experiments, yet many
questions remain unanswered about the contribution of cholinergic modulation
to healthy hippocampal function. To address this question, we have developed a
model of CA1 pyramidal neuron that takes into consideration muscarinic
receptor activation in response to changes in extracellular concentration of
acetylcholine and its effects on cellular excitability and downstream
intracellular calcium dynamics. This model incorporates a variety of molecular
agents to accurately simulate several processes heretofore ignored in
computational modeling of CA1 pyramidal neurons. These processes include the
inhibition of ionic channels by phospholipid depletion along with the release
of calcium from intracellular stores (i.e., the endoplasmic reticulum). This
paper describes the model and the methods used to calibrate its behavior to
match experimental results. The result of this work is a compartmental model
with calibrated mechanisms for simulating the intracellular calcium dynamics
of CA1 pyramidal cells with a focus on those related to release from calcium
stores in the endoplasmic reticulum. From this model we also make various
predictions for how the inhibitory and excitatory responses to cholinergic
modulation vary with agonist concentration. This model expands the
capabilities of CA1 pyramidal cell models through the explicit modeling of
molecular interactions involved in healthy cognitive function and disease.
Through this expanded model we come closer to simulating these diseases and
gaining the knowledge required to develop novel treatments.
Read More: [ Source ]
#articles
Follow: @theTuringMachine
Dysfunction in cholinergic modulation has been linked to a variety of
cognitive disorders including Alzheimer's disease. The important role of this
neurotransmitter has been explored in a variety of experiments, yet many
questions remain unanswered about the contribution of cholinergic modulation
to healthy hippocampal function. To address this question, we have developed a
model of CA1 pyramidal neuron that takes into consideration muscarinic
receptor activation in response to changes in extracellular concentration of
acetylcholine and its effects on cellular excitability and downstream
intracellular calcium dynamics. This model incorporates a variety of molecular
agents to accurately simulate several processes heretofore ignored in
computational modeling of CA1 pyramidal neurons. These processes include the
inhibition of ionic channels by phospholipid depletion along with the release
of calcium from intracellular stores (i.e., the endoplasmic reticulum). This
paper describes the model and the methods used to calibrate its behavior to
match experimental results. The result of this work is a compartmental model
with calibrated mechanisms for simulating the intracellular calcium dynamics
of CA1 pyramidal cells with a focus on those related to release from calcium
stores in the endoplasmic reticulum. From this model we also make various
predictions for how the inhibitory and excitatory responses to cholinergic
modulation vary with agonist concentration. This model expands the
capabilities of CA1 pyramidal cell models through the explicit modeling of
molecular interactions involved in healthy cognitive function and disease.
Through this expanded model we come closer to simulating these diseases and
gaining the knowledge required to develop novel treatments.
Read More: [ Source ]
#articles
Follow: @theTuringMachine
Frontiers
A Computational Model of the Cholinergic Modulation of CA1 Pyramidal Cell Activity
Dysfunction in cholinergic modulation has been linked to a variety of cognitive disorders including Alzheimer's disease. The important role of this neurotransmitter has been explored in a variety of experiments, yet many questions remain unanswered about…