Bharath Chandra

@BharathTalluri

PhD student in Cognitive Neuroscience | Behavior enthusiast | Brains and Biases | Passionate about Bayesian modelling

Vrijeme pridruživanja: siječanj 2014.

Tweetovi

Blokirali ste korisnika/cu @BharathTalluri

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @BharathTalluri

  1. Prikvačeni tweet
    13. ruj 2018.

    First paper from my PhD with is out open access. Confirmation Bias through Selective Overweighting of Choice-Consistent Evidence

    Poništi
  2. proslijedio/la je Tweet
    prije 15 sati

    New from the lab () that shows choice-predictive feedforward/back signals in V1! Led by . Relevant for anyone interested in , , , . Thread. (1/10)

    Prikaži ovu nit
    Poništi
  3. Looking forward to "ten simple rules to reading a ten simple rules paper", or does one exist already?

    Poništi
  4. proslijedio/la je Tweet
    3. velj

    New out on ! \w , , Nicole de Ru & Sander Nieuwenhuis, we show that temporal expectation enhances perception by speeding up the the decision process onset without affecting its evolution! below (1/10)

    Prikaži ovu nit
    Poništi
  5. proslijedio/la je Tweet
    31. sij

    Very happy to present my latest paper, and first with ! Co-authored with the brilliant , &

    Prikaži ovu nit
    Poništi
  6. proslijedio/la je Tweet
    30. sij

    A PhD student at , researches on human behavior. Decision-making is prone to various biases, and some of these biases are fundamental to behavior. His research provides insights into the brain mechanisms of these biases, and their significance in our lives

    Poništi
  7. proslijedio/la je Tweet
    29. sij

    Today I will be teaching my undergrad course "How to build a brain from scratch" for the 2nd year running. I've put the materials online - include a document with all lecture slides and notes, which is about as long as a decent novel. Enjoy!

    Prikaži ovu nit
    Poništi
  8. proslijedio/la je Tweet
    27. sij

    Excited to share the last project of my PhD "A Bayesian and efficient observer model explains concurrent attractive and repulsive history biases in visual perception" with

    Poništi
  9. proslijedio/la je Tweet
    23. sij

    The surgeon’s hand is visibly trembling. The scalpel’s blade glints as it catches the light. I’m a medical student, scrubbed in on the case. I’m not going into surgery, I know that. I’m here for him. He glances at me and notices I’m holding my breath. He grins. “Relax.” 1/

    Prikaži ovu nit
    Poništi
  10. proslijedio/la je Tweet
    23. sij

    Google Dataset Search is now officially out of beta. "Dataset Search has indexed almost 25 million of these datasets, giving you a single place to search for datasets & find links to where the data is." Nice work, Natasha Noy and everyone else involved!

    Prikaži ovu nit
    Poništi
  11. proslijedio/la je Tweet
    20. sij

    I'm very proud and excited to present to you: a team science approach to reproducibly studying decision-making! Want to know what it's been like to work on this? Behind-the-scenes 🧵👇 1/many

    Prikaži ovu nit
    Poništi
  12. proslijedio/la je Tweet
    20. sij

    Our paper "Inverse Transformed Encoding Models - a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding" is online (with ). Open access:

    Poništi
  13. proslijedio/la je Tweet

    After >2 years of effort by our team in 7 labs, we present to you: 3 million choices from 101 mice in a standardized decision-making task. 🐭 "A standardized and reproducible method to measure decision-making in mice" Story time! 🧵👇 1/10

    Prikaži ovu nit
    Poništi
  14. proslijedio/la je Tweet
    17. sij

    Peak epicness is reached in "References" and "Competing financial interests" 😂😂😂

    Poništi
  15. proslijedio/la je Tweet
    15. sij

    Distributional reinforcement learning (RL) algorithms predict the entire ‘distribution’ of future rewards not just the average and improve the AI performance. This work presents evidence that the brain’s dopamine system uses distributional RL.

    Prikaži ovu nit
    Poništi
  16. proslijedio/la je Tweet
    14. sij

    New preprint with and ! arXiv: code: (thread) 1. Many models (e.g., in psych and comp neuro) don't have a log-likelihood in closed form, but we can easily sample observations from the model.

    Prikaži ovu nit
    Poništi
  17. proslijedio/la je Tweet

    Ten simple rules for the computational modeling of behavioral data from and

    Poništi
  18. proslijedio/la je Tweet
    10. sij
    Poništi
  19. proslijedio/la je Tweet
    9. sij

    Did you know that visual serial dependence can detrimentally bias recognition performance in all kinds of visual search tasks, even (simulated) tumor recognition in radiologists? Well, now you know it ;-)

    Poništi
  20. proslijedio/la je Tweet
    6. sij

    We are really happy to announce that our paper on 'Long-term stability of cortical population dynamics underlying consistent behavior' has finally appeared in Nature Neuroscience . A great collaboration with 1/n

    Prikaži ovu nit
    Poništi
  21. proslijedio/la je Tweet
    30. pro 2019.

    New paper by the , and others: "Graded recruitment of pupil-linked neuromodulation by parametric stimulation of the vagus nerve."

    Prikaži ovu nit
    Poništi

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.

    Možda bi vam se svidjelo i ovo:

    ·