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View article: The developmental trajectories of generalization and discrimination in reinforcement learning reflect multiple underlying cognitive processes
The developmental trajectories of generalization and discrimination in reinforcement learning reflect multiple underlying cognitive processes Open
A hallmark of human intelligence is the ability to appropriately generalize past experiences to new scenarios. Organizing concepts into categories allows the brain to generalize learned stimulus-reward contingencies to new stimuli within t…
View article: The developmental trajectories of generalization and discrimination in reinforcement learning reflect multiple underlying cognitive processes
The developmental trajectories of generalization and discrimination in reinforcement learning reflect multiple underlying cognitive processes Open
A hallmark of human intelligence is the ability to appropriately generalize past experiences to new scenarios. Organizing concepts into categories allows the brain to generalize learned stimulus-reward contingencies to new stimuli within t…
View article: Geometry representations along visual pathways in human spatial navigation
Geometry representations along visual pathways in human spatial navigation Open
The representation of geometric structures of one’s surroundings is key to self-localization during human spatial navigation. However, the spatial organization of geometry representation in the visual system has not been fully characterize…
View article: Learning 3D object-centric representation through prediction
Learning 3D object-centric representation through prediction Open
As part of human core knowledge, the representation of objects is the building block of mental representation that supports high-level concepts and symbolic reasoning. While humans develop the ability of perceiving objects situated in 3D e…
View article: Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning
Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning Open
Realistic and complex decision tasks often allow for many possible solutions. How do we find the correct one? Introspection suggests a process of trying out solutions one after the other until success. However, such methodical serial testi…
View article: A computer-vision based approach to co-register frames from egocentric video recordings
A computer-vision based approach to co-register frames from egocentric video recordings Open
Wearable eye-trackers enable us to record eye movement dynamics from an egocentric viewpoint. Although the data collected from wearable eye-trackers can index our looking patterns in naturalistic settings, current data analyses focus on th…
View article: Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning
Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning Open
Realistic and complex decision tasks often allow for many possible solutions. How do we find the correct one? Introspection suggests a process of trying out solutions one after the other until success. However, such methodical serial testi…
View article: BrainIAK: The Brain Imaging Analysis Kit
BrainIAK: The Brain Imaging Analysis Kit Open
Functional magnetic resonance imaging (fMRI) offers a rich source of data for studying the neural basis of cognition. Here, we describe the Brain Imaging Analysis Kit (BrainIAK), an open-source, free Python package that provides computatio…
View article: Using Recurrent Neural Networks to Understand Human Reward Learning
Using Recurrent Neural Networks to Understand Human Reward Learning Open
Computational models are greatly useful in cognitive science in revealing the mechanisms of learning and decision making. However, it is hard to know whether all meaningful variance in behavior has been account for by the best-fit model se…
View article: BrainIAK: The Brain Imaging Analysis Kit
BrainIAK: The Brain Imaging Analysis Kit Open
Functional magnetic resonance imaging (fMRI) offers a rich source of data for studying the neural basis of cognition. Here, we describe the Brain Imaging Analysis Kit (BrainIAK), an open-source, free Python package that provides computatio…
View article: Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis
Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis Open
With the wide adoption of functional magnetic resonance imaging (fMRI) by cognitive neuroscience researchers, large volumes of brain imaging data have been accumulated in recent years. Aggregating these data to derive scientific insights o…
View article: Peer Review #2 of "Facilitating open-science with realistic fMRI simulation: validation and application (v0.1)"
Peer Review #2 of "Facilitating open-science with realistic fMRI simulation: validation and application (v0.1)" Open
With advances in methods for collecting and analyzing fMRI data, there is a concurrent need to understand how to reliably evaluate and optimally use these methods.Simulations of fMRI data can aid in both the evaluation of complex designs a…
View article: Facilitating open-science with realistic fMRI simulation: validation and application
Facilitating open-science with realistic fMRI simulation: validation and application Open
With advances in methods for collecting and analyzing fMRI data, there is a concurrent need to understand how to reliably evaluate and optimally use these methods. Simulations of fMRI data can aid in both the evaluation of complex designs …
View article: Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias
Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias Open
The activity of neural populations in the brains of humans and animals can exhibit vastly different spatial patterns when faced with different tasks or environmental stimuli. The degrees of similarity between these neural activity patterns…
View article: fNIRS and Neurocinematics
fNIRS and Neurocinematics Open
In the overlap between Human-Computer Interaction (HCI) and Cinematics, sits an interest in physiological responses to experiences. Focusing particularly on brain data, Neurocinematics has emerged as a research field using Brain-Computer I…
View article: Disentangled Deep Autoencoding Regularization for Robust Image Classification
Disentangled Deep Autoencoding Regularization for Robust Image Classification Open
In spite of achieving revolutionary successes in machine learning, deep convolutional neural networks have been recently found to be vulnerable to adversarial attacks and difficult to generalize to novel test images with reasonably large g…
View article: Facilitating open-science with realistic fMRI simulation: validation and application
Facilitating open-science with realistic fMRI simulation: validation and application Open
Background With advances in methods for collecting and analyzing fMRI data, there is a concurrent need to understand how to reliably evaluate and optimally use these methods. Simulations of fMRI data can aid in both the evaluation of compl…
View article: Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias
Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias Open
The activity of neural populations in the brains of humans and animals can exhibit vastly different spatial patterns when faced with different tasks or environmental stimuli. The degree of similarity between these neural activity patterns …
View article: Should you trust your RSA result? A Bayesian method for reducing bias in neural representational similarity analysis.
Should you trust your RSA result? A Bayesian method for reducing bias in neural representational similarity analysis. Open
Representational similarity analysis (RSA) has become a popular tool in fMRI studies. It has recently been realized that calculating similarity between two neural patterns that were estimated during the same scanning session can induce bia…
View article: A Bayesian method for reducing bias in neural representational similarity analysis
A Bayesian method for reducing bias in neural representational similarity analysis Open
1 In neuroscience, the similarity matrix of neural activity patterns in response to different sensory stimuli or under different cognitive states reflects the structure of neural representational space. Existing methods derive point estima…
View article: Perceived duration is reduced by repetition but not by high-level expectation
Perceived duration is reduced by repetition but not by high-level expectation Open
A repeated stimulus is judged as briefer than a novel one. It has been suggested that this duration illusion is an example of a more general phenomenonânamely that a more expected stimulus is judged as briefer than a less expected one. T…
View article: Driver Fatigue Detection System Based on DM3730
Driver Fatigue Detection System Based on DM3730 Open
Driver fatigue is a popular problem which has attracted people's views.Many research departments are researching driver fatigue detection in order to improve the traffic safety.This paper presented a driver fatigue detection system based o…
View article: Duration estimates within a modality are integrated sub-optimally
Duration estimates within a modality are integrated sub-optimally Open
Perceived duration can be influenced by various properties of sensory stimuli. For example, visual stimuli of higher temporal frequency are perceived to last longer than those of lower temporal frequency. How does the brain form a represen…