Entertainment software and cognitive neurotherapeutics society meeting




















Following the completion of Phase II, it is expected that the products under development will be commercialized and disseminated. While those types of small businesses will not be given special consideration during peer review, NIMH will consider them at the time of award.

Small Businesses that serve only to manage the project between entertainment software companies and clinical researchers will not be considered appropriate for this initiative and will be withdrawn as non-responsive.

While managing the project between entertainment software programmers and clinical researchers is a factor, small businesses should have the scientific expertise and personnel to develop gaming technologies, a scientific understanding of cognition, and the ability to work cooperatively with clinical researchers on neuropsychiatric disorders.

Future year amounts will depend on annual appropriations. The number of awards is contingent upon NIH appropriations, and the submission of a sufficient number of meritorious applications.

Only United States small business concerns SBCs are eligible to submit applications for this opportunity. A small business concern is one that, at the time of award of Phase I and Phase II, meets all of the following criteria:. Is organized for profit, with a place of business located in the United States, which operates primarily within the United States or which makes a significant contribution to the United States economy through payment of taxes or use of American products, materials or labor; 2.

Is in the legal form of an individual proprietorship, partnership, limited liability company, corporation, joint venture, association, trust or cooperative, except that where the form is a joint venture, there can be no more than 49 percent participation by foreign business entities in the joint venture; 3. Has, including its affiliates, not more than employees. SBCs must also meet the other regulatory requirements found in 13 C.

Part Business concerns, other than investment companies licensed, or state development companies qualifying under the Small Business Investment Act of , 15 U. Business concerns include, but are not limited to, any individual sole proprietorship partnership, corporation, joint venture, association, or cooperative.

Non-domestic non-U. Entities Foreign Institutions are not eligible to apply. Organizations are not eligible to apply. All registrations must be completed by the application due date. Applicant organizations are strongly encouraged to start the registration process at least weeks prior to the application due date. Individuals from underrepresented racial and ethnic groups as well as individuals with disabilities are always encouraged to apply for NIH support.

Occasionally, deviations from this requirement may occur. Applicant organizations may submit more than one application, provided that each application is scientifically distinct. NIH will not accept similar grant applications with essentially the same research focus from the same applicant organization. This includes derivative or multiple applications that propose to develop a single product, process, or service that, with non-substantive modifications, can be applied to a variety of purposes.

NIH will not accept any application in response to this FOA that is essentially the same as one currently pending initial merit review unless the applicant withdraws the pending application.

To maintain eligibility to seek Phase II support, a Phase I awardee should submit a Phase II application within the first six due dates following the expiration of the Phase I budget period. Conformance to the requirements in the Application Guide is required and strictly enforced. Applications that are out of compliance with these instructions may be delayed or not accepted for review.

Although a letter of intent is not required, is not binding, and does not enter into the review of a subsequent application, the information that it contains allows IC staff to estimate the potential review workload and plan the review.

By the date listed in Part 1. Overview Information , prospective applicants are asked to submit a letter of intent that includes the following information:. The forms package associated with this FOA includes all applicable components, mandatory and optional.

Please note that some components marked optional in the application package are required for submission of applications for this FOA. Do not use the Appendix to circumvent page limits. Part I. Overview Information contains information about Key Dates. Applicants are encouraged to submit in advance of the deadline to ensure they have time to make any application corrections that might be necessary for successful submission.

Organizations must submit applications via Grants. Abstract Funding Institution Related projects Comments. Recent in Grantomics:. Recently viewed grants:. Recently added grants:. Modelling sensorimotor adaptation in speech through alterations to forward and inverse models. Paper presented at Interspeech , Brno, Czechia, August SMAC 2. Tang, C. Movement variability is actively regulated in speech. Blitz talk presented at the Annual meeting of the Society for the Neural Control of Movement, held virtually, April Cross-domain generalizability of cerebellar timing mechanisms.

Krakauer, C. Naber, C. Nagarajan, R. Ivry, J. Patients with cerebellar degeneration correct for sub-categorical vowel variation even when auditory feedback is blocked. Assessing the consistency of compensation for auditory errors across error sources, testing sessions, and changes in feedback reliability. Chen, B. Unreliable auditory feedback leads to decreased sensitivity to auditory errors. Houde, B. Parrell, V. Ramanarayanan, S.

The FACTS model: using state estimation and task-based feedback control to model the speech motor system. Previous exposure to sensory feedback noise causes a decrease in online compensation for sensory perturbations in speech.

Saxena, R. Augmented use of feedback for online control in patients with cerebellar ataxia across different motor domains. Raharjo, K. Ranasinghe, V. Ramanarayanan, B. Parrell, J. Houde, S. Sensorimotor adaptation in speech is sensitive to vowel targets of altered feedback. Styler, B. Articulation During Pauses. A hierarchical task-based control model of speech incorporating sensory feedback.

Krivokapic, B. Kim Using machine learning to identify articulatory gestures in time course data. Journal of the Acoustical Society of America , Pause postures in American English. Evidence for reward learning in speech production. A hierarchical state feedback control model for speech simulates task-specific responses to auditory and articulatory perturbations.

Nagarajan, B. Ramanarayanan Advances in modeling speech production as state feedback control. Agnew, J. Cerebellar damage leads to changes in both feedforward and feedback control of speech. Feedforward and feedback control in patients with cerebellar degeneration. A sensory feedback control framework for speech: model architecture, neural bases, and open questions.

Ivry Individuals with cerebellar degeneration correct for within-category variation of vowels even in the absence of auditory feedback. Kothare, V. Sensorimotor adaptation to real-time formant shifts is influenced by the direction and magnitude of shift. Goldstein, D. Acoustic and articulatory measures of prosodic convergence in a cooperative maze navigation task. The wide world of prosody: Prosodic structure in sound change and prosodic breakdown in disordered speech.

Disrupted feedforward but spared feedback control during speech in patients with cerebellar degeneration. The sensory consequences of speaking: cortical prediction of auditory phonetic targets. Planned for July 19—24, ; rescheduled for BLAB 2. Speak your mind: how speech acoustics reflect communicative goals. March 10, A series of tubes: contextual modulation of voices. November 29, Speak your mind: neural control of speech production.

November 2, Feedback vs. June 22, Language made audible: how speech acoustics reflect cognition. April 2, Language made audible: how speech acoustics reflect communicative goals. March 30, Self-monitoring in L1 and L2: a magnetoencephalography study.

March 22, February 28, How do categorical goals affect continuous speech dynamics? May , BLAB 2. Correcting errors before they happen: cortical prediction of auditory targets during speech. February 9th, Assessing the neurophysiological causes of speech production errors in patients with aphasia.

January 25th, Auditory cortical predictions of vocal feedback are task-dependent. March 27th, Correcting errors before they happen: cortical monitoring of auditory targets during speech. April 8th, Auditory self-monitoring catches speech errors before they happen.

February 11th, Speech error correction in correct speech. December 1st, Neural mechanisms of auditory feedback control in normal and perturbed speech. October 30th, Houde and C. How is auditory feedback processed during speaking? October 24th, The role of linguistic contrasts in speech feedback control. February 7th, December 2, Li, S.

Ayala, D. Harel, D. Changes in frontal-parietal activation and math skills performance following adaptive number sense training: preliminary results from a pilot study. Neuropsychological Rehabilitation, 21 4 — Cognitive training for improving executive function in chemotherapy-treated breast cancer survivors.

Clinical Breast Cancer, 13 4 , — A pilot study of an online cognitive rehabilitation program for executive function skills in children with cancer-related brain injury. Brain Injury, 24 1 Influence of executive function training on prefrontal functional networks in healthy adults. Koorenhof, L. Memory rehabilitation and brain training for surgical temporal lobe epilepsy patients: a preliminary report. Seizure, 21 3 , La Nauze, A. National Bureau of Economic Research.

Lassonde, K. Lumosity does not best classroom memory improvement strategies. Scholarship of Teaching and Learning in Psychology, 5 1 , 1. Lathan, C. Dementia and Geriatric Cognitive Disorders Extra, 6 1 , 98— Lawlor-Savage, L. Can a 15 minute online game replace a Wechsler test of intelligence? No evidence for an effect of a working memory training program on white matter microstructure. Intelligence, 86, Lim, D.

Mindfulness and compassion: an examination of mechanism and scalability. PloS one, 10 2 , e Mayas, J. Plasticity of attentional functions in older adults after non-action video game training: a randomized, controlled trial.

McAdams-DeMarco, M. Segev, D. Kidney International Reports, 3 1 , 81— Mewton, L. A randomised double-blind trial of cognitive training for the prevention of psychopathology in at-risk youth. Behaviour Research and Therapy, Moradi, P.

Iranian Journal of Psychiatry and Clinical Psychology, Morrison, G. Reliability and validity of the NeuroCognitive Performance Test, a web-based neuropsychological assessment. Frontiers in Psychology, Ng, N. Frontiers in Neurology, 11, Perceptions of brain training: Public expectations of cognitive benefits from popular activities. Frontiers in Human Neuroscience, Optimizing cognitive task designs to improve learning rates in a large online population.

Improving cognitive performance in school-aged children: A large-scale, multi-site implementation of a web-based cognitive training program in academic settings. Journal of the International Neuropsychological Society, 21 10 , — Trials, 19 1 , 1—8. Prevention of early postoperative decline: a randomized, controlled feasibility trial of perioperative cognitive training.

Olfers, K. Game-based training of mental flexibility: ERPs suggest a forward shift of control during task switching. Rattray, B. Exercise improves reaction time without compromising accuracy in a novel easy-to-administer tablet-based cognitive task.

Journal of Science and Medicine in Sport, 16 6 — The effect of high and low exercise intensity periods on a simple memory recognition test. Journal of Sport and Health Science, 5 3 , — Rhodes, R. Effects of spacing and individual differences on learning a working memory task.

Richards, A. Sleep and cognitive performance from teens to old age: More is not better. Sleep, 40 1. Neylan, T. Work by day and sleep by night, do not sleep too little or too much: Effects of sleep duration, time of day and circadian synchrony on flanker-task performance in internet brain-game users from teens to advanced age.

Journal of Sleep Research, April, 1— Ruiz-Marquez, E.



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