Pleased and honored to appear on the @danafoundation panel on "How the brain decides" with colleagues @[email protected] and Paul Glimcher. We had fun contemplating the past and future of #DecisionNeuroscience (#Neuroeconomics)...
Pleased and honored to appear on the @danafoundation panel on "How the brain decides" with colleagues @[email protected] and Paul Glimcher. We had fun contemplating the past and future of #DecisionNeuroscience (#Neuroeconomics)...
People think they know a lot about transportation systems because they use them, leading to statements like "building more highways will fix the traffic jam I'm sitting in now" without recognizing YOU are the traffic you're complaining about. The illusion of explanatory depth provides insight: https://thedecisionlab.com/biases/the-illusion-of-explanatory-depth.
#transportation #IllusionOfExplanatoryDepth #ConfirmationBias #psychology #brain #expert #bias #DecisionNeuroscience #DecisionMaking #decisions #BikeTooter #traffic
And here is a list of hashtags used relatively recently:
#neuroscience
#computational_neuroscience
#neurosciencemews
#neuroscienceeducation
#neuroscienceresearch
#NetworkNeuroscience
#CognitiveNeuroscience
#neurosciences
#neuroscience2023
#neuroscienceofdiscipline
#neurosciencedebate
#DogNeuroscience
#DecisionNeuroscience
#neurosciencenews
#CognitveNeuroscience
#neuroscienceofphilosophy
#Neuroscience101
#neuroscienceonmastodon
And a 'group' you can follow [email protected]
BTCC Talk Series: Lusha Zhu
"Structure and Influence in an Interconnected World"
🌐🧠 Discover the hidden connections in our interconnected world!
🎉
Explore the groundbreaking fusion of decision neuroscience and social network analysis, revealing a neural mechanism called "network-dependent learning" 🧪📊
Register now to be a part of this captivating conversation: https://us02web.zoom.us/webinar/register/WN_CZJJXPn8RVi4HHHBAFWaHg
Title: Structure and influence in an interconnected world Abstract: Many social species are embedded on social networks, including our own. The structure of social networks shapes our decisions by constraining what information we learn and from whom. Yet the precise mechanism by which the human brain interacts with the networked environments remains unknown. A major obstacle to exploring this conundrum has been the difficulty to develop computationally-tractable and neurobiologically-plausible accounts that can characterize how the decision-making system processes information passing through social networks. In this talk, I will present some recent progress in addressing this gap. By combining ideas and methods from decision neuroscience and social network analysis, we demonstrate a neural mechanism of ‘network-dependent learning’, which filters social information according to where the sources locate on the network. This mechanism can give rise to collective maladaptation, including biased learning and misinformation propagation in an interconnected society.
#DecisionMaking #DecoyEffect #DecisionNeuroscience
New paper with @k_tsetsos is published in @eLife
Paper: https://elifesciences.org/articles/83316
We showed that a unidimensional distractor effect in a previous study (Chau et al., 2014 Nature Neuro.) affords alternative interpretations.
Twitter thread: https://twitter.com/yinan_cao/status/1624113909597601792
Our work is a demonstration of a self-correcting process exclusively by virtue of the power of #openscience.
A previously reported positive influence of a distractor alternative on decision accuracy was driven by an unintended covariation between key variables, beyond which the distractor has a modest negative influence on accuracy, possibly mirroring asymmetric multiattribute context effects.
Check out my latest paper on the functional relevance of #rDLPFC and #VMPFC on #Risk with @[email protected] @[email protected] and #PeiranJiao #neuroeconomics #decisionneuroscience @[email protected] @[email protected]
https://www.sciencedirect.com/science/article/pii/S0010945222003288