​About​

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I'm a cognitive computational neuroscientist at Columbia University, Electrophysiology, Memory, and Navigation Lab. 

Previously I was a postdoc at Princeton (with Ken Norman, Matt Botvinick, Jon Cohen, Nathaniel Daw).  My PhD was in psychology (Berlin, Germany, Haynes lab), BSc in software engineering (Tehran, Iran), & MSc in Philosophy of Science (Utrecht, Netherlands). 

I study how memory & planning are supported by learning relational structures. 

I show that hierarchical planning & abstraction rely on multi-scale predictive maps updated via memory replay. I combine behavioral experiments, fMRI, & electrophysiology with reinforcement learning, neural networks, & machine learning.  ​In another line of research I use graph theory, experiments, & multi-agent simulations to study how conversational networks shape collective memory (this podcast) & other collective behavior.

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Upcoming talks

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Nov  7: Talk at Cold Spring Harbor Laboratory

Nov 19: Talk at Georgetown University 

Dec  6:  Talk & workshop at Harvard University

Dec 13: Talk at NeurIPS, Biological and Artificial Reinforcement Learning Workshop

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Publications & preprints

Brunec I, Momennejad I (2019) Predictive Representations in Hippocampal and Prefrontal Hierarchies.
[ bioRxiv preprint ]

Sievers B, Momennejad I (2019) SAMPL: Spreading Activation and Memory Plasticity Model.
[ bioRxiv preprint , Model Code on GitHub ]

Momennejad I, Sinclair S, Cikara M (2019) Computational justice: Simulating structural bias and interventions.
[ bioRxiv preprint , 04/21/2019: python workshop ]

Zorowitz S, Momennejad I, Daw N (2019) Anxiety, avoidance, and sequential evaluation.
[ bioRxiv preprint ]
 

Momennejad I, Duker A, Coman A (2019) Bridge ties bind collective memories. Nature Communications. 
[ open access paper ]

Momennejad I, Norman KA, Cohen JD, Singh S, Lewis RL (2019). Rational use of Episodic and Working Memory: A Normative Account of Prospective Memory. BioRxiv, 580324 https://doi.org/10.1101/580324.
[ bioRxiv preprint, SfN poster ]

Momennejad I, Howard M (2018) Predicting the future with multi-scale successor representations.
[ bioRxiv preprint, status: in revision ]

Momennejad I, Otto RA, Daw N, Norman KA (2018) Offline replay supports planning in human reinforcement learning. eLife 2018;7:e32548. [ eLife link, Talk at CCN 2017 ,   open access dataset]

Russek E*, Momennejad I*,  Botvinick MM, Gershman SJ, Daw N (2017) Predictive representations can link model-based reinforcement learning to model-free mechanisms. Plos Comp Biol.
[ Journal link,  bioRxiv preprint,  CODE ]

Momennejad I*, Russek E*, Cheong JH, Botvinick MM, Daw N, Gershman SJ (2017) The successor representation in human reinforcement learning: evidence from retrospective revaluation. Nature Human Behaviour, 1. [ Nat Hum Beh paper , free preprint , my python tutorials comparing SR & SR-Dyna,  blogpost from Deepmind ] 

Coman A, Momennejad I, Drach R, Geana A (2016) Mnemonic convergence in social networks: The emergent properties of cognition at a collective level. PNAS. doi: 10.1073/pnas.1525569113.
[ Journal link + PDF file ]

Wisniewsky D, Reverberi C, Momennejad I, Kahnt T, Haynes J-D (2016) The role of parietal cortex in the representation of task-reward-association. The Journal of Neuroscience. [ Journal link ] 

Haynes J-D, Wisniewsky D, Gorgen K, Momennejad I, Reverberi C (2015) fMRI decoding of intentions: compositionality, hierarchy, and prospective memory. Brain-Computer Interface (BCI), 3rd International Winter Conference. doi: 10.1109/IWW-BCI.2015.7073031. [ IEEE link ]

Momennejad I, Haynes J-D (2013) Encoding of prospective tasks in the human prefrontal cortex under varying task load. The Journal of Neuroscience 33(44):17342-17349. [ Journal link + PDF file ]

Momennejad I, Haynes J-D (2012) Human anterior prefrontal cortex encodes the 'what' and 'when' of future intentions. Neuroimage 61(1):139-48.

[ Journal link + PDF file ]

Working manuscripts

• Russek E, Momennejad I,  Botvinick MM, Gershman SJ, Daw N (in prep) Predictive representations in human prefrontal cortex and the hippocampus. 
   

• Momennejad I*, Tomov M*, Norman KA, Cohen JD (in prep) The strategic allocation of working memory and episodic memory in cognitive control: A neural network model of prospective memory. [ poster PDF file ]
   

• Momennejad I, Cohen JD, Norman KA (in prep) MVPA evidence of episodic future simulation predicts goal-directed behavior in prospective memory. [ Ask me about it! ]
   

• Momennejad I, Reverberi C, Haynes J-D (in prep) Sequence effects: Task similarity facilitation and dissimilarity costs in the planning and execution of task sequences. [ poster PDF file ]

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Recent Teaching

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• MIND 2019 "Cognitive Maps" computational summer school (Methods In Neuroscience at Dartmouth) 
  - Lecture, tutorial, and hackathon team.
   

• MIND 2018 computational summer school (Methods In Neuroscience at Dartmouth) 
  - Lecture, tutorial, and hackathon team.
   

• MIND 2017 computational summer school (Methods In Neuroscience at Dartmouth) 
  - Two Lectures, tutorial, and hackathon team.
   

• Introduction to cognitive neuroscience - with Mattew Botvinick at Princeton University
   

• Math bootcamp - with Carlos Brody at Princeton University

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Recent Talks and Workshops (since April 2019)

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April 21, 1-5 PM: Computational Justice Workshop (hands-on agent-based simulation in Python), Heart of the Machine series, Pioneerworks, Brooklyn, NY

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May 13-14: Context and Episodic Memory (CEMS), Philadelphia, PA

May 16-18: Control Processes 2019, Brown University, Providence, RI

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May 28-29: Talk and visit, Computational Neuroscience Center, University of Washington, Seatle, WA

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July 10, 1-5PM: Structure for Efficient Reinforcement Learning (SERL) Workshop
4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), Montreal, Canada

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August 8-17: "Cognitive Maps" at MIND19 summer school for computational methods in neuroscience at Dartmouth​

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September 10-13: What is biological Computation? Santa Fe Institute

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Book chapters 

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• Momennejad I, Allahyari M (2017) Refiguring: in Conversation. Futureproof, Haverford College, Haverford, PA, pp 16-31.

• Momennejad I (2011) Thinking in movements, rehearsing freedom. In: Wagner L and Gomes-Carrillo de Castro Eds., Sounds, Space, Body, a process. Ernst Schering Foundation and Association of Neuroesthetics: Berlin, pp:115-125.

• Momennejad I (2011) Seeing with eyes closed: the neuro-epistemology of perceptual reality. In: Agudio E and Franke I Eds., Seeing with eyes closed. Association of Neuroesthetics: Berlin, pp:15-21.

• Momennejad I and Franke I (2011) Two practices of seeing with eyes closed: contemporary art and science in dialogue. In: Agudio E and Franke I Eds., Seeing with eyes closed. Association of Neuroesthetics: Berlin, pp:9-13.

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Media: Talks, outreach, press

• A video of talk at the Stanford Psychology Colloquium  "Predictive representations in memory and planning", Stanford University, 2017.
   

• A video of talk on our elife paper"Offline Replay Supports Planning" at CCN 2017 (Cognitive Computational Neuroscience conference), Columbia Univesity, New York.
   

• Video of MIND2017 workshop, "Thinking in graphs (Day 2): Social temporal networks and collective memory", Dartmouth college, 2017.
   

• Video of MIND2017 workshop, "Thinking in graphs (Day 1): Cognitive maps & memory replay", Dartmouth college, 2017.
   

• Video of MIND2018 workshop, Dartmouth college, 2018.
   

• A video of keynote talk "Predictive maps: What does it mean to have human-like memory and agency?" (min 16 onward), at Facets Conference 2017, The Future of AI, Goethe Institut, New York.
   

• Deep mind blog post featuring a new article on predictive representations as well as my paper on the successor representation. 
   

• Spinney L (7 March 2017) "How facebook, fake news and friends are warping your memory. Research on collective recall takes on new importance in a post-fact world". Nature feature on our work on collective memory