[
    {
        "id": "authors:bs6nh-71s70",
        "collection": "authors",
        "collection_id": "bs6nh-71s70",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20220301-900055000",
        "type": "article",
        "title": "Properties and hemispheric differences of theta oscillations in the human hippocampus",
        "author": [
            {
                "family_name": "Penner",
                "given_name": "Cooper",
                "orcid": "0000-0002-6260-856X",
                "clpid": "Penner-Cooper"
            },
            {
                "family_name": "Minxha",
                "given_name": "Juri",
                "orcid": "0000-0003-4942-3269",
                "clpid": "Minxha-Juri"
            },
            {
                "family_name": "Chandravadia",
                "given_name": "Nand",
                "clpid": "Chandravadia-Nand"
            },
            {
                "family_name": "Mamelak",
                "given_name": "Adam N.",
                "orcid": "0000-0002-4245-6431",
                "clpid": "Mamelak-Adam-N"
            },
            {
                "family_name": "Rutishauser",
                "given_name": "Ueli",
                "orcid": "0000-0002-9207-7069",
                "clpid": "Rutishauser-Ueli"
            }
        ],
        "abstract": "The left and right primate hippocampi (LH and RH) are thought to support distinct functions, but little is known about differences between the hemispheres at the neuronal level. We recorded single-neuron and local field potentials from the human hippocampus in epilepsy patients implanted with depth electrodes. We detected theta-frequency bouts of oscillatory activity while patients performed a visual recognition memory task. Theta appeared in bouts of 3.16\u2009cycles, with sawtooth-shaped oscillations that had a prolonged downswing period. Outside the seizure onset zone, the average frequency of theta bouts was higher in the RH compared to the LH (6.0 vs. 5.3\u2009Hz). LH theta bouts had lower amplitudes and a higher prevalence compared to the RH (26% vs. 21% of total time). Additionally, the RH contained a population of thin spiking visually tuned neurons that were not present in the LH. These data show that human theta appears in short oscillatory bouts whose properties vary between hemispheres, thereby revealing neurophysiological properties of the hippocampus that differ between the hemispheres.",
        "doi": "10.1002/hipo.23412",
        "issn": "1050-9631",
        "publisher": "Wiley",
        "publication": "Hippocampus",
        "publication_date": "2022-05",
        "series_number": "5",
        "volume": "32",
        "issue": "5",
        "pages": "335-341"
    },
    {
        "id": "authors:fbv32-8je49",
        "collection": "authors",
        "collection_id": "fbv32-8je49",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20220318-215726540",
        "type": "article",
        "title": "Saccade-related neural communication in the human medial temporal lobe is modulated by the social relevance of stimuli",
        "author": [
            {
                "family_name": "Staudigl",
                "given_name": "Tobias",
                "orcid": "0000-0003-2885-1280",
                "clpid": "Staudigl-Tobias"
            },
            {
                "family_name": "Minxha",
                "given_name": "Juri",
                "orcid": "0000-0003-4942-3269",
                "clpid": "Minxha-Juri"
            },
            {
                "family_name": "Mamelak",
                "given_name": "Adam N.",
                "orcid": "0000-0002-4245-6431",
                "clpid": "Mamelak-Adam-N"
            },
            {
                "family_name": "Gothard",
                "given_name": "Katalin M.",
                "orcid": "0000-0001-9642-2985",
                "clpid": "Gothard-Katalin-M"
            },
            {
                "family_name": "Rutishauser",
                "given_name": "Ueli",
                "orcid": "0000-0002-9207-7069",
                "clpid": "Rutishauser-Ueli"
            }
        ],
        "abstract": "Humans predominantly explore their environment by moving their eyes. To optimally communicate and process visual information, neural activity needs to be coordinated with the execution of eye movements. We investigated the coordination between visual exploration and interareal neural communication by analyzing local field potentials and single neuron activity in patients with epilepsy. We demonstrated that during the free viewing of images, neural communication between the human amygdala and hippocampus is coordinated with the execution of eye movements. The strength and direction of neural communication and hippocampal saccade-related phase alignment were strongest for fixations that landed on human faces. Our results argue that the state of the human medial temporal lobe network is selectively coordinated with motor behavior. Interareal neural communication was facilitated for social stimuli as indexed by the category of the attended information.",
        "doi": "10.1126/sciadv.abl6037",
        "pmcid": "PMC8932656",
        "issn": "2375-2548",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science Advances",
        "publication_date": "2022-03-18",
        "series_number": "11",
        "volume": "8",
        "issue": "11",
        "pages": "Art. No. eabl6037"
    },
    {
        "id": "authors:n8yef-h4703",
        "collection": "authors",
        "collection_id": "n8yef-h4703",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20201222-101718854",
        "type": "monograph",
        "title": "Inferring brain-wide interactions using data-constrained recurrent neural network models",
        "author": [
            {
                "family_name": "Perich",
                "given_name": "Matthew G.",
                "orcid": "0000-0001-9800-2386",
                "clpid": "Perich-Matthew-G"
            },
            {
                "family_name": "Arlt",
                "given_name": "Charlotte",
                "clpid": "Arlt-Charlotte"
            },
            {
                "family_name": "Soares",
                "given_name": "Sofia",
                "clpid": "Soares-Sofia"
            },
            {
                "family_name": "Young",
                "given_name": "Megan E.",
                "clpid": "Young-Megan-E"
            },
            {
                "family_name": "Mosher",
                "given_name": "Clayton P.",
                "orcid": "0000-0002-9213-3059",
                "clpid": "Mosher-Clayton-P"
            },
            {
                "family_name": "Minxha",
                "given_name": "Juri",
                "orcid": "0000-0003-4942-3269",
                "clpid": "Minxha-Juri"
            },
            {
                "family_name": "Carter",
                "given_name": "Eugene",
                "clpid": "Carter-Eugene"
            },
            {
                "family_name": "Rutishauser",
                "given_name": "Ueli",
                "orcid": "0000-0002-9207-7069",
                "clpid": "Rutishauser-Ueli"
            },
            {
                "family_name": "Rudebeck",
                "given_name": "Peter H.",
                "orcid": "0000-0002-1411-7555",
                "clpid": "Rudebeck-Peter-H"
            },
            {
                "family_name": "Harvey",
                "given_name": "Christopher D.",
                "orcid": "0000-0001-9850-2268",
                "clpid": "Harvey-Christopher-D"
            },
            {
                "family_name": "Rajan",
                "given_name": "Kanaka",
                "orcid": "0000-0003-2749-2917",
                "clpid": "Rajan-Kanaka"
            }
        ],
        "abstract": "Behavior arises from the coordinated activity of numerous anatomically and functionally distinct brain regions. Modern experimental tools allow unprecedented access to large neural populations spanning many interacting regions brain-wide. Yet, understanding such large-scale datasets necessitates both scalable computational models to extract meaningful features of inter-region communication and principled theories to interpret those features. Here, we introduce Current-Based Decomposition (CURBD), an approach for inferring brain-wide interactions using data-constrained recurrent neural network models that directly reproduce experimentally-obtained neural data. CURBD leverages the functional interactions inferred by such models to reveal directional currents between multiple brain regions. We first show that CURBD accurately isolates inter-region currents in simulated networks with known dynamics. We then apply CURBD to multi-region neural recordings obtained from mice during running, macaques during Pavlovian conditioning, and humans during memory retrieval to demonstrate the widespread applicability of CURBD to untangle brain-wide interactions underlying behavior from a variety of neural datasets.",
        "doi": "10.1101/2020.12.18.423348",
        "publication_date": "2020-12-21"
    },
    {
        "id": "authors:1v0xg-4cs96",
        "collection": "authors",
        "collection_id": "1v0xg-4cs96",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20191022-151855686",
        "type": "article",
        "title": "Flexible recruitment of memory-based choice representations by human medial-frontal cortex",
        "author": [
            {
                "family_name": "Minxha",
                "given_name": "Juri",
                "orcid": "0000-0003-4942-3269",
                "clpid": "Minxha-Juri"
            },
            {
                "family_name": "Adolphs",
                "given_name": "Ralph",
                "orcid": "0000-0002-8053-9692",
                "clpid": "Adolphs-R"
            },
            {
                "family_name": "Fusi",
                "given_name": "Stefano",
                "orcid": "0000-0002-3035-6652",
                "clpid": "Fusi-Stefano"
            },
            {
                "family_name": "Mamelak",
                "given_name": "Adam N.",
                "orcid": "0000-0002-4245-6431",
                "clpid": "Mamelak-Adam-N"
            },
            {
                "family_name": "Rutishauser",
                "given_name": "Ueli",
                "orcid": "0000-0002-9207-7069",
                "clpid": "Rutishauser-Ueli"
            }
        ],
        "abstract": "Flexibly switching between different tasks is a fundamental human cognitive ability that allows us to make selective use of only the information needed for a given decision. Minxha et al. used single-neuron recordings from patients to understand how the human brain retrieves memories on demand when needed for making a decision and how retrieved memories are dynamically routed in the brain from the temporal to the frontal lobe. When memory was not needed, only medial frontal cortex neural activity was correlated with the task. However, when outcome choices required memory retrieval, frontal cortex neurons were phase-locked to field potentials recorded in the medial temporal lobe. Therefore, depending on demands of the task, neurons in different regions can flexibly engage and disengage their activity patterns.",
        "doi": "10.1126/science.aba3313",
        "pmcid": "PMC7531893",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2020-06-26",
        "series_number": "6498",
        "volume": "368",
        "issue": "6498",
        "pages": "Art. No. eaba3313"
    },
    {
        "id": "authors:wxdxz-pn688",
        "collection": "authors",
        "collection_id": "wxdxz-pn688",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20191209-075734741",
        "type": "article",
        "title": "Value-related neuronal responses in the human amygdala during observational learning",
        "author": [
            {
                "family_name": "Aquino",
                "given_name": "Tomas G.",
                "clpid": "Aquino-Tomas-G"
            },
            {
                "family_name": "Minxha",
                "given_name": "Juri",
                "orcid": "0000-0003-4942-3269",
                "clpid": "Minxha-Juri"
            },
            {
                "family_name": "Dunne",
                "given_name": "Simon",
                "orcid": "0000-0003-4875-7953",
                "clpid": "Dunne-Simon"
            },
            {
                "family_name": "Ross",
                "given_name": "Ian B.",
                "clpid": "Ross-Ian-B"
            },
            {
                "family_name": "Mamelak",
                "given_name": "Adam N.",
                "orcid": "0000-0002-4245-6431",
                "clpid": "Mamelak-Adam-N"
            },
            {
                "family_name": "Rutishauser",
                "given_name": "Ueli",
                "orcid": "0000-0002-9207-7069",
                "clpid": "Rutishauser-Ueli"
            },
            {
                "family_name": "O'Doherty",
                "given_name": "John P.",
                "orcid": "0000-0003-0016-3531",
                "clpid": "O'Doherty-J-P"
            }
        ],
        "abstract": "The amygdala plays an important role in many aspects of social cognition and reward learning. Here, we aimed to determine whether human amygdala neurons are involved in the computations necessary to implement learning through observation. We performed single-neuron recordings from the amygdalae of human neurosurgical patients (male and female) while they learned about the value of stimuli through observing the outcomes experienced by another agent interacting with those stimuli. We used a detailed computational modeling approach to describe patients' behavior in the task. We found a significant proportion of amygdala neurons whose activity correlated with both expected rewards for oneself and others, and in tracking outcome values received by oneself or other agents. Additionally, a population decoding analysis suggests the presence of information for both observed and experiential outcomes in the amygdala. Encoding and decoding analyses suggested observational value coding in amygdala neurons occurred in a different subset of neurons than experiential value coding. Collectively, these findings support a key role for the human amygdala in the computations underlying the capacity for learning through observation.",
        "doi": "10.1523/JNEUROSCI.2897-19.2020",
        "pmcid": "PMC7294800",
        "issn": "0270-6474",
        "publisher": "Society for Neuroscience",
        "publication": "Journal of Neuroscience",
        "publication_date": "2020-06-10",
        "series_number": "24",
        "volume": "40",
        "issue": "24",
        "pages": "4761-4772"
    },
    {
        "id": "authors:epxm0-00s61",
        "collection": "authors",
        "collection_id": "epxm0-00s61",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20180402-080900774",
        "type": "article",
        "title": "Musical Preferences Predict Personality: Evidence From Active Listening and Facebook Likes",
        "author": [
            {
                "family_name": "Nave",
                "given_name": "Gideon",
                "orcid": "0000-0001-6251-5630",
                "clpid": "Nave-Gideon"
            },
            {
                "family_name": "Minxha",
                "given_name": "Juri",
                "clpid": "Minxha-Juri"
            },
            {
                "family_name": "Greenberg",
                "given_name": "David M.",
                "clpid": "Greenberg-D-M"
            },
            {
                "family_name": "Kosinski",
                "given_name": "Michal",
                "clpid": "Kosinski-Michal"
            },
            {
                "family_name": "Stillwell",
                "given_name": "David",
                "clpid": "Stillwell-D"
            },
            {
                "family_name": "Rentfrow",
                "given_name": "Jason",
                "clpid": "Rentfrow-J"
            }
        ],
        "abstract": "Research over the past decade has shown that various personality traits are communicated through musical preferences. One limitation of that research is external validity, as most studies have assessed individual differences in musical preferences using self-reports of music-genre preferences. Are personality traits communicated through behavioral manifestations of musical preferences? We addressed this question in two large-scale online studies with demographically diverse populations. Study 1 (N = 22,252) shows that reactions to unfamiliar musical excerpts predicted individual differences in personality\u2014most notably, openness and extraversion\u2014above and beyond demographic characteristics. Moreover, these personality traits were differentially associated with particular music-preference dimensions. The results from Study 2 (N = 21,929) replicated and extended these findings by showing that an active measure of naturally occurring behavior, Facebook Likes for musical artists, also predicted individual differences in personality. In general, our findings establish the robustness and external validity of the links between musical preferences and personality.",
        "doi": "10.1177/0956797618761659",
        "issn": "0956-7976",
        "publisher": "SAGE Publications",
        "publication": "Psychological Science",
        "publication_date": "2018-07",
        "series_number": "7",
        "volume": "29",
        "issue": "7",
        "pages": "1145-1158"
    },
    {
        "id": "authors:y69rn-d9f78",
        "collection": "authors",
        "collection_id": "y69rn-d9f78",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20170126-154932370",
        "type": "article",
        "title": "Fixations Gate Species-Specific Responses to Free Viewing of Faces in the Human and Macaque Amygdala",
        "author": [
            {
                "family_name": "Minxha",
                "given_name": "Juri",
                "clpid": "Minxha-Juri"
            },
            {
                "family_name": "Mosher",
                "given_name": "Clayton",
                "clpid": "Mosher-C"
            },
            {
                "family_name": "Morrow",
                "given_name": "Jeremiah K.",
                "clpid": "Morrow-J-K"
            },
            {
                "family_name": "Mamelak",
                "given_name": "Adam N.",
                "orcid": "0000-0002-4245-6431",
                "clpid": "Mamelak-A-N"
            },
            {
                "family_name": "Adolphs",
                "given_name": "Ralph",
                "orcid": "0000-0002-8053-9692",
                "clpid": "Adolphs-R"
            },
            {
                "family_name": "Gothard",
                "given_name": "Katalin M.",
                "clpid": "Gothard-K-M"
            },
            {
                "family_name": "Rutishauser",
                "given_name": "Ueli",
                "orcid": "0000-0002-9207-7069",
                "clpid": "Rutishauser-U"
            }
        ],
        "abstract": "Neurons in the primate amygdala respond prominently to faces. This implicates the amygdala in the processing of socially significant stimuli, yet its contribution to social perception remains poorly understood. We evaluated the representation of faces in the primate amygdala during naturalistic conditions by recording from both human and macaque amygdala neurons during free viewing of identical arrays of images with concurrent eye tracking. Neurons responded to faces only when they were fixated, suggesting that neuronal activity was gated by visual attention. Further experiments in humans utilizing covert attention confirmed this hypothesis. In both species, the majority of face-selective neurons preferred faces of conspecifics, a bias also seen behaviorally in first fixation preferences. Response latencies, relative to fixation onset, were shortest for conspecific-selective neurons and were \u223c100 ms shorter in monkeys compared to humans. This argues that attention to faces gates amygdala responses, which in turn prioritize species-typical information for further processing.",
        "doi": "10.1016/j.celrep.2016.12.083",
        "pmcid": "PMC5283067",
        "issn": "2211-1247",
        "publisher": "Elsevier",
        "publication": "Cell Reports",
        "publication_date": "2017-01-24",
        "series_number": "4",
        "volume": "18",
        "issue": "4",
        "pages": "878-891"
    },
    {
        "id": "authors:cv117-bjh58",
        "collection": "authors",
        "collection_id": "cv117-bjh58",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20150429-112219106",
        "type": "article",
        "title": "Making Decisions Based on Autobiographical Memories",
        "author": [
            {
                "family_name": "Minxha",
                "given_name": "Juri",
                "clpid": "Minxha-Juri"
            },
            {
                "family_name": "Rutishauser",
                "given_name": "Ueli",
                "orcid": "0000-0002-9207-7069",
                "clpid": "Rutishauser-U"
            }
        ],
        "abstract": "A new human intracranial study by Foster et al. (2015) sheds light on the electrophysiological correlates of intrinsic and task-evoked functional connectivity in lateral and medial parietal cortex.",
        "doi": "10.1016/j.neuron.2015.04.010",
        "issn": "0896-6273",
        "publisher": "Elsevier",
        "publication": "Neuron",
        "publication_date": "2015-04-22",
        "series_number": "2",
        "volume": "86",
        "issue": "2",
        "pages": "350-352"
    },
    {
        "id": "authors:rfe3z-e0d63",
        "collection": "authors",
        "collection_id": "rfe3z-e0d63",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20141113-105545818",
        "type": "article",
        "title": "A cognitive neuroprosthetic that uses cortical stimulation for somatosensory feedback",
        "author": [
            {
                "family_name": "Klaes",
                "given_name": "Christian",
                "orcid": "0000-0003-4767-9631",
                "clpid": "Klaes-C"
            },
            {
                "family_name": "Shi",
                "given_name": "Ying",
                "clpid": "Shi-Ying"
            },
            {
                "family_name": "Kellis",
                "given_name": "Spencer",
                "orcid": "0000-0002-5158-1058",
                "clpid": "Kellis-Spencer-S"
            },
            {
                "family_name": "Minxha",
                "given_name": "Juri",
                "clpid": "Minxha-Juri"
            },
            {
                "family_name": "Revechkis",
                "given_name": "Boris",
                "clpid": "Revechkis-B"
            },
            {
                "family_name": "Andersen",
                "given_name": "Richard A.",
                "orcid": "0000-0002-7947-0472",
                "clpid": "Andersen-R-A"
            }
        ],
        "abstract": "Present day cortical brain\u2013machine interfaces (BMIs) have made impressive advances using decoded brain signals to control extracorporeal devices. Although BMIs are used in a closed-loop fashion, sensory feedback typically is visual only. However medical case studies have shown that the loss of somesthesis in a limb greatly reduces the agility of the limb even when visual feedback is available. Approach. To overcome this limitation, this study tested a closed-loop BMI that utilizes intracortical microstimulation to provide 'tactile' sensation to a non-human primate. Main result. Using stimulation electrodes in Brodmann area 1 of somatosensory cortex (BA1) and recording electrodes in the anterior intraparietal area, the parietal reach region and dorsal area 5 (area 5d), it was found that this form of feedback can be used in BMI tasks. Significance. Providing somatosensory feedback has the poyential to greatly improve the performance of cognitive neuroprostheses especially for fine control and object manipulation. Adding stimulation to a BMI system could therefore improve the quality of life for severely paralyzed patients.",
        "doi": "10.1088/1741-2560/11/5/056024",
        "pmcid": "PMC4410973",
        "issn": "1741-2560",
        "publisher": "IOP",
        "publication": "Journal of Neural Engineering",
        "publication_date": "2014-10",
        "series_number": "5",
        "volume": "11",
        "issue": "5",
        "pages": "Art. No. 056024"
    }
]