Publications (by topic)
Affordances
Learning to Play Video Games with Intuitive Physics Priors.
Jaiswal, Abhishek and Srivastava, Nisheeth.
46th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2024
Keywords: Affordances, Reinforcement Learning, Deep Learning, Learning, Vision
Attention
Multiple Object Tracking Without Pre-attentive Indexing.
Ayare, Shubhamkar and Srivastava, Nisheeth.
Open Mind, Volume 8, 2024.
Keywords: Multiple Object Tracking, Vision, Attention
Measuring Mental Effort with Visual estimation tasks.
Mehrotra, Samarth.
Masters Thesis.
2023
Keywords: Mental Effort, Measurement, Attention, MS Theses
Choice Models
Over-precise Predictions Cannot Identify Good Choice Models.
Sifar, Anjali and Srivastava, Nisheeth.
Computational Brain & Behavior, Volume 5, 2022.
Keywords: Choice Models, Risk, Learning from Experience, Metascience
Imprecise Oracles Impose Limits to Predictability in Supervised Learning.
Sifar, Anjali and Srivastava, Nisheeth.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21,
2021
Keywords: Choice Models, Decision Making, Metascience
Limits on Predictability of Risky Choice Behavior.
Sifar, Anjali and Srivastava, Nisheeth.
42th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2020
Keywords: Choice Models, Risk, Learning from Experience Decision Making, Metascience
Decision Making
Tracking Conflict in Reasoning.
Shivnekar, Revati Vijay.
PhD Thesis.
2024
Keywords: Measurement, Decision Making, Morality, PhD Theses
Measuring vacillations in reasoning.
Shivnekar, Revati Vijay and Srivastava, Nisheeth.
Judgment and Decision Making, Volume 19, 2024.
Keywords: Measurement, Decision Making, Morality
Measuring the time utility of mental effort.
Mehrotra, Samarth and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Measurement, Decision Making, Learning from Experience, Vision
Unpredictability shortens planning horizons.
Mitra, Arjun and Srivastava, Nisheeth and Srinivasan, Narayanan.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Risk, Learning from Experience, Decision Making
Groups are Better than Individuals at Solving Optimum Stopping Problems.
Laskar, Pritam and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Decision Making, Social Cognition
Measuring the completeness of race models for perceptual decision-making.
Sifar, Anjali and Purohit, Hariharan and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Race Models, Drift Diffusion, Random Dot Motion Discrimination, Vision, Decision Making
Measuring Moral Vacillation.
Shivnekar, Revati Vijay and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Morality, Decision Making, Measurement
Selecting between visuomotor lotteries to measure mental effort in risky decisions.
Mehrotra, Samarth and Srivastava, Nisheeth.
44th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2022
Keywords: Risk, Decision Making, Measurement, Learning from Experience
Imprecise Oracles Impose Limits to Predictability in Supervised Learning.
Sifar, Anjali and Srivastava, Nisheeth.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21,
2021
Keywords: Choice Models, Decision Making, Metascience
Inducing preference reversals by manipulating revealed preferences.
Balakrishnan, Harish and Jagga, Shobhit and Sriva and Srivastava, Nisheeth.
42th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2020
Keywords: Preferences, Decision Making, Learning from Experience
A computational investigation of being in the world.
Srivastava, Nisheeth.
PhD Thesis.
2012
Keywords: Preferences, Preference Formation, Decision Making, Reinforcement Learning, Morality, PhD Theses
Deep Learning
Learning to Play Video Games with Intuitive Physics Priors.
Jaiswal, Abhishek and Srivastava, Nisheeth.
46th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2024
Keywords: Affordances, Reinforcement Learning, Deep Learning, Learning, Vision
Using Learnable Physics for Real-Time Exercise Form Recommendations.
Jaiswal, Abhishek and Chauhan, Gautam and Srivastava, Nisheeth.
Proceedings of the 17th ACM Conference on Recommender Systems,
2023
Keywords: Recommendation Systems, Machine Learning, Deep Learning
Statistical prediction alone cannot identify good models of behavior.
Srivastava, Nisheeth and Sifar, Anjali and Srinivasan, Narayanan.
Behavioral and Brain Sciences, Volume 46, 2023.
Keywords: Deep Learning, Machine Learning, Metascience, Vision
Drift Diffusion
Measuring the completeness of race models for perceptual decision-making.
Sifar, Anjali and Purohit, Hariharan and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Race Models, Drift Diffusion, Random Dot Motion Discrimination, Vision, Decision Making
EEG
How robust are fMRI and EEG data to alternative specifications in representational similarity analyses?.
Sharma, Satwick Sen and Boruah, Gouravmoy and Srivastava, Nisheeth.
46th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2024
Keywords: Specification Curve Analysis, fMRI, EEG, Metascience
Few-shot Learning
One and known: Incidental probability judgments from very few samples.
Singhal, Ishan and Srinivasan, Narayanan and Srivastava, Nisheeth.
43th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2021
Keywords: Incidental Learning, Few-shot Learning, Learning from Experience
Incidental Learning
Incidental statistical learning and its limitations.
Anish Thankachan.
Masters Thesis.
2024
Keywords: Statistical Learning, Incidental Learning, Learning, MS Theses
One and known: Incidental probability judgments from very few samples.
Singhal, Ishan and Srinivasan, Narayanan and Srivastava, Nisheeth.
43th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2021
Keywords: Incidental Learning, Few-shot Learning, Learning from Experience
Learning
Learning to Play Video Games with Intuitive Physics Priors.
Jaiswal, Abhishek and Srivastava, Nisheeth.
46th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2024
Keywords: Affordances, Reinforcement Learning, Deep Learning, Learning, Vision
Incidental statistical learning and its limitations.
Anish Thankachan.
Masters Thesis.
2024
Keywords: Statistical Learning, Incidental Learning, Learning, MS Theses
Learning from Experience
Measuring the time utility of mental effort.
Mehrotra, Samarth and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Measurement, Decision Making, Learning from Experience, Vision
Unpredictability shortens planning horizons.
Mitra, Arjun and Srivastava, Nisheeth and Srinivasan, Narayanan.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Risk, Learning from Experience, Decision Making
Over-precise Predictions Cannot Identify Good Choice Models.
Sifar, Anjali and Srivastava, Nisheeth.
Computational Brain & Behavior, Volume 5, 2022.
Keywords: Choice Models, Risk, Learning from Experience, Metascience
Selecting between visuomotor lotteries to measure mental effort in risky decisions.
Mehrotra, Samarth and Srivastava, Nisheeth.
44th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2022
Keywords: Risk, Decision Making, Measurement, Learning from Experience
One and known: Incidental probability judgments from very few samples.
Singhal, Ishan and Srinivasan, Narayanan and Srivastava, Nisheeth.
43th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2021
Keywords: Incidental Learning, Few-shot Learning, Learning from Experience
Inducing preference reversals by manipulating revealed preferences.
Balakrishnan, Harish and Jagga, Shobhit and Sriva and Srivastava, Nisheeth.
42th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2020
Keywords: Preferences, Decision Making, Learning from Experience
Learning from Experience Decision Making
Limits on Predictability of Risky Choice Behavior.
Sifar, Anjali and Srivastava, Nisheeth.
42th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2020
Keywords: Choice Models, Risk, Learning from Experience Decision Making, Metascience
MS Theses
Multiple Object Tracking Without Pre-attentive Indexing.
Shubhamkar Bajrang Ayare.
Masters Thesis.
2024
Keywords: Multiple Object Tracking, Vision, MS Theses
Incidental statistical learning and its limitations.
Anish Thankachan.
Masters Thesis.
2024
Keywords: Statistical Learning, Incidental Learning, Learning, MS Theses
Measuring Mental Effort with Visual estimation tasks.
Mehrotra, Samarth.
Masters Thesis.
2023
Keywords: Mental Effort, Measurement, Attention, MS Theses
Sampling-based probability construction explains individual differences in risk preference.
Ankoju, Bhanu Prakash.
Masters Thesis.
2022
Keywords: Risk, Working Memory, Prospect Theory, Probability Judgments, MS Theses
Draw, Don’t Look: Motor Representations for Few-shot Object Recognition.
Sharma, Aastha.
Masters Thesis.
2021
Keywords: Program Learning, Representation Learning, Motor Representations, MS Theses
Machine Learning
Using Learnable Physics for Real-Time Exercise Form Recommendations.
Jaiswal, Abhishek and Chauhan, Gautam and Srivastava, Nisheeth.
Proceedings of the 17th ACM Conference on Recommender Systems,
2023
Keywords: Recommendation Systems, Machine Learning, Deep Learning
Statistical prediction alone cannot identify good models of behavior.
Srivastava, Nisheeth and Sifar, Anjali and Srinivasan, Narayanan.
Behavioral and Brain Sciences, Volume 46, 2023.
Keywords: Deep Learning, Machine Learning, Metascience, Vision
Measurement
Tracking Conflict in Reasoning.
Shivnekar, Revati Vijay.
PhD Thesis.
2024
Keywords: Measurement, Decision Making, Morality, PhD Theses
Measuring vacillations in reasoning.
Shivnekar, Revati Vijay and Srivastava, Nisheeth.
Judgment and Decision Making, Volume 19, 2024.
Keywords: Measurement, Decision Making, Morality
Measuring Mental Effort with Visual estimation tasks.
Mehrotra, Samarth.
Masters Thesis.
2023
Keywords: Mental Effort, Measurement, Attention, MS Theses
Measuring the time utility of mental effort.
Mehrotra, Samarth and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Measurement, Decision Making, Learning from Experience, Vision
Measuring Moral Vacillation.
Shivnekar, Revati Vijay and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Morality, Decision Making, Measurement
Selecting between visuomotor lotteries to measure mental effort in risky decisions.
Mehrotra, Samarth and Srivastava, Nisheeth.
44th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2022
Keywords: Risk, Decision Making, Measurement, Learning from Experience
Mental Effort
Measuring Mental Effort with Visual estimation tasks.
Mehrotra, Samarth.
Masters Thesis.
2023
Keywords: Mental Effort, Measurement, Attention, MS Theses
Metascience
How robust are fMRI and EEG data to alternative specifications in representational similarity analyses?.
Sharma, Satwick Sen and Boruah, Gouravmoy and Srivastava, Nisheeth.
46th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2024
Keywords: Specification Curve Analysis, fMRI, EEG, Metascience
Statistical prediction alone cannot identify good models of behavior.
Srivastava, Nisheeth and Sifar, Anjali and Srinivasan, Narayanan.
Behavioral and Brain Sciences, Volume 46, 2023.
Keywords: Deep Learning, Machine Learning, Metascience, Vision
Over-precise Predictions Cannot Identify Good Choice Models.
Sifar, Anjali and Srivastava, Nisheeth.
Computational Brain & Behavior, Volume 5, 2022.
Keywords: Choice Models, Risk, Learning from Experience, Metascience
Imprecise Oracles Impose Limits to Predictability in Supervised Learning.
Sifar, Anjali and Srivastava, Nisheeth.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21,
2021
Keywords: Choice Models, Decision Making, Metascience
Limits on Predictability of Risky Choice Behavior.
Sifar, Anjali and Srivastava, Nisheeth.
42th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2020
Keywords: Choice Models, Risk, Learning from Experience Decision Making, Metascience
Morality
Tracking Conflict in Reasoning.
Shivnekar, Revati Vijay.
PhD Thesis.
2024
Keywords: Measurement, Decision Making, Morality, PhD Theses
Measuring vacillations in reasoning.
Shivnekar, Revati Vijay and Srivastava, Nisheeth.
Judgment and Decision Making, Volume 19, 2024.
Keywords: Measurement, Decision Making, Morality
Measuring Moral Vacillation.
Shivnekar, Revati Vijay and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Morality, Decision Making, Measurement
A computational investigation of being in the world.
Srivastava, Nisheeth.
PhD Thesis.
2012
Keywords: Preferences, Preference Formation, Decision Making, Reinforcement Learning, Morality, PhD Theses
Motor Representations
Draw, Don’t Look: Motor Representations for Few-shot Object Recognition.
Sharma, Aastha.
Masters Thesis.
2021
Keywords: Program Learning, Representation Learning, Motor Representations, MS Theses
Multiple Object Tracking
Multiple Object Tracking Without Pre-attentive Indexing.
Shubhamkar Bajrang Ayare.
Masters Thesis.
2024
Keywords: Multiple Object Tracking, Vision, MS Theses
Multiple Object Tracking Without Pre-attentive Indexing.
Ayare, Shubhamkar and Srivastava, Nisheeth.
Open Mind, Volume 8, 2024.
Keywords: Multiple Object Tracking, Vision, Attention
Tracking Multiple Objects without Indexes.
Ayare, Shubhamkar and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Multiple Object Tracking, Vision
PhD Theses
Tracking Conflict in Reasoning.
Shivnekar, Revati Vijay.
PhD Thesis.
2024
Keywords: Measurement, Decision Making, Morality, PhD Theses
A computational investigation of being in the world.
Srivastava, Nisheeth.
PhD Thesis.
2012
Keywords: Preferences, Preference Formation, Decision Making, Reinforcement Learning, Morality, PhD Theses
Polarization
Understanding Clique Formation in Social Networks - An Agent-Based Model of Social Preferences in Fixed and Dynamic Networks.
Arya, Pratyush and Srivastava, Nisheeth.
Lecture Notes in Computer Science,
2023
Keywords: Preferences, Social Cognition, Polarization
Preference Formation
A computational investigation of being in the world.
Srivastava, Nisheeth.
PhD Thesis.
2012
Keywords: Preferences, Preference Formation, Decision Making, Reinforcement Learning, Morality, PhD Theses
Preferences
Understanding Clique Formation in Social Networks - An Agent-Based Model of Social Preferences in Fixed and Dynamic Networks.
Arya, Pratyush and Srivastava, Nisheeth.
Lecture Notes in Computer Science,
2023
Keywords: Preferences, Social Cognition, Polarization
Inducing preference reversals by manipulating revealed preferences.
Balakrishnan, Harish and Jagga, Shobhit and Sriva and Srivastava, Nisheeth.
42th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2020
Keywords: Preferences, Decision Making, Learning from Experience
A computational investigation of being in the world.
Srivastava, Nisheeth.
PhD Thesis.
2012
Keywords: Preferences, Preference Formation, Decision Making, Reinforcement Learning, Morality, PhD Theses
Probability Judgements
Sampling-based probability construction explains individual differences in risk preference.
Ankoju, Bhanu Prakash and Srivastava, Nisheeth.
44th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2022
Keywords: Risk, Working Memory, Prospect Theory, Probability Judgements
Probability Judgments
Sampling-based probability construction explains individual differences in risk preference.
Ankoju, Bhanu Prakash.
Masters Thesis.
2022
Keywords: Risk, Working Memory, Prospect Theory, Probability Judgments, MS Theses
Program Learning
Draw, Don’t Look: Motor Representations for Few-shot Object Recognition.
Sharma, Aastha.
Masters Thesis.
2021
Keywords: Program Learning, Representation Learning, Motor Representations, MS Theses
Prospect Theory
Sampling-based probability construction explains individual differences in risk preference.
Ankoju, Bhanu Prakash.
Masters Thesis.
2022
Keywords: Risk, Working Memory, Prospect Theory, Probability Judgments, MS Theses
Sampling-based probability construction explains individual differences in risk preference.
Ankoju, Bhanu Prakash and Srivastava, Nisheeth.
44th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2022
Keywords: Risk, Working Memory, Prospect Theory, Probability Judgements
Race Models
Measuring the completeness of race models for perceptual decision-making.
Sifar, Anjali and Purohit, Hariharan and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Race Models, Drift Diffusion, Random Dot Motion Discrimination, Vision, Decision Making
Random Dot Motion Discrimination
Measuring the completeness of race models for perceptual decision-making.
Sifar, Anjali and Purohit, Hariharan and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Race Models, Drift Diffusion, Random Dot Motion Discrimination, Vision, Decision Making
Recommendation Systems
Using Learnable Physics for Real-Time Exercise Form Recommendations.
Jaiswal, Abhishek and Chauhan, Gautam and Srivastava, Nisheeth.
Proceedings of the 17th ACM Conference on Recommender Systems,
2023
Keywords: Recommendation Systems, Machine Learning, Deep Learning
Reinforcement Learning
Learning to Play Video Games with Intuitive Physics Priors.
Jaiswal, Abhishek and Srivastava, Nisheeth.
46th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2024
Keywords: Affordances, Reinforcement Learning, Deep Learning, Learning, Vision
A computational investigation of being in the world.
Srivastava, Nisheeth.
PhD Thesis.
2012
Keywords: Preferences, Preference Formation, Decision Making, Reinforcement Learning, Morality, PhD Theses
Representation Learning
Draw, Don’t Look: Motor Representations for Few-shot Object Recognition.
Sharma, Aastha.
Masters Thesis.
2021
Keywords: Program Learning, Representation Learning, Motor Representations, MS Theses
Risk
Sampling-based probability construction explains individual differences in risk preference.
Ankoju, Bhanu Prakash.
Masters Thesis.
2022
Keywords: Risk, Working Memory, Prospect Theory, Probability Judgments, MS Theses
Unpredictability shortens planning horizons.
Mitra, Arjun and Srivastava, Nisheeth and Srinivasan, Narayanan.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Risk, Learning from Experience, Decision Making
Over-precise Predictions Cannot Identify Good Choice Models.
Sifar, Anjali and Srivastava, Nisheeth.
Computational Brain & Behavior, Volume 5, 2022.
Keywords: Choice Models, Risk, Learning from Experience, Metascience
Sampling-based probability construction explains individual differences in risk preference.
Ankoju, Bhanu Prakash and Srivastava, Nisheeth.
44th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2022
Keywords: Risk, Working Memory, Prospect Theory, Probability Judgements
Selecting between visuomotor lotteries to measure mental effort in risky decisions.
Mehrotra, Samarth and Srivastava, Nisheeth.
44th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2022
Keywords: Risk, Decision Making, Measurement, Learning from Experience
Limits on Predictability of Risky Choice Behavior.
Sifar, Anjali and Srivastava, Nisheeth.
42th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2020
Keywords: Choice Models, Risk, Learning from Experience Decision Making, Metascience
Social Cognition
Understanding Clique Formation in Social Networks - An Agent-Based Model of Social Preferences in Fixed and Dynamic Networks.
Arya, Pratyush and Srivastava, Nisheeth.
Lecture Notes in Computer Science,
2023
Keywords: Preferences, Social Cognition, Polarization
Groups are Better than Individuals at Solving Optimum Stopping Problems.
Laskar, Pritam and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Decision Making, Social Cognition
Specification Curve Analysis
How robust are fMRI and EEG data to alternative specifications in representational similarity analyses?.
Sharma, Satwick Sen and Boruah, Gouravmoy and Srivastava, Nisheeth.
46th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2024
Keywords: Specification Curve Analysis, fMRI, EEG, Metascience
Statistical Learning
Incidental statistical learning and its limitations.
Anish Thankachan.
Masters Thesis.
2024
Keywords: Statistical Learning, Incidental Learning, Learning, MS Theses
Vision
Learning to Play Video Games with Intuitive Physics Priors.
Jaiswal, Abhishek and Srivastava, Nisheeth.
46th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2024
Keywords: Affordances, Reinforcement Learning, Deep Learning, Learning, Vision
Multiple Object Tracking Without Pre-attentive Indexing.
Shubhamkar Bajrang Ayare.
Masters Thesis.
2024
Keywords: Multiple Object Tracking, Vision, MS Theses
Multiple Object Tracking Without Pre-attentive Indexing.
Ayare, Shubhamkar and Srivastava, Nisheeth.
Open Mind, Volume 8, 2024.
Keywords: Multiple Object Tracking, Vision, Attention
Statistical prediction alone cannot identify good models of behavior.
Srivastava, Nisheeth and Sifar, Anjali and Srinivasan, Narayanan.
Behavioral and Brain Sciences, Volume 46, 2023.
Keywords: Deep Learning, Machine Learning, Metascience, Vision
Measuring the time utility of mental effort.
Mehrotra, Samarth and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Measurement, Decision Making, Learning from Experience, Vision
Measuring the completeness of race models for perceptual decision-making.
Sifar, Anjali and Purohit, Hariharan and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Race Models, Drift Diffusion, Random Dot Motion Discrimination, Vision, Decision Making
Tracking Multiple Objects without Indexes.
Ayare, Shubhamkar and Srivastava, Nisheeth.
45th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2023
Keywords: Multiple Object Tracking, Vision
Working Memory
Sampling-based probability construction explains individual differences in risk preference.
Ankoju, Bhanu Prakash.
Masters Thesis.
2022
Keywords: Risk, Working Memory, Prospect Theory, Probability Judgments, MS Theses
Sampling-based probability construction explains individual differences in risk preference.
Ankoju, Bhanu Prakash and Srivastava, Nisheeth.
44th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2022
Keywords: Risk, Working Memory, Prospect Theory, Probability Judgements
fMRI
How robust are fMRI and EEG data to alternative specifications in representational similarity analyses?.
Sharma, Satwick Sen and Boruah, Gouravmoy and Srivastava, Nisheeth.
46th
Proceedings of the Annual Meeting of the Cognitive Science Society,
2024
Keywords: Specification Curve Analysis, fMRI, EEG, Metascience