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Connection

Alexander Friedman to Behavior, Animal

This is a "connection" page, showing publications Alexander Friedman has written about Behavior, Animal.
Connection Strength

1.019
  1. Ib??ez Alcal? RJ, Beck DW, Salcido AA, Davila LD, Giri A, Heaton CN, Villarreal Rodriguez K, Rakocevic LI, Hossain SB, Reyes NF, Batson SA, Macias AY, Drammis SM, Negishi K, Zhang Q, Umashankar Beck S, Vara P, Joshi A, Franco AJ, Hernandez Carbajal BJ, Ordonez MM, Ramirez FY, Lopez JD, Lozano N, Ramirez A, Legaspy L, Cruz PL, Armenta AA, Viel SN, Aguirre JI, Quintanar O, Medina F, Ordonez PM, Munoz AE, Mart?nez Gaudier GE, Naime GM, Powers RE, O'Dell LE, Moschak TM, Goosens KA, Friedman A. RECORD, a high-throughput, customizable system that unveils behavioral strategies leveraged by rodents during foraging-like decision-making. Commun Biol. 2024 07 06; 7(1):822.
    View in: PubMed
    Score: 0.718
  2. Friedman A, Hueske E, Drammis SM, Toro Arana SE, Nelson ED, Carter CW, Delcasso S, Rodriguez RX, Lutwak H, DiMarco KS, Zhang Q, Rakocevic LI, Hu D, Xiong JK, Zhao J, Gibb LG, Yoshida T, Siciliano CA, Diefenbach TJ, Ramakrishnan C, Deisseroth K, Graybiel AM. Striosomes Mediate Value-Based Learning Vulnerable in Age and a Huntington's Disease Model. Cell. 2020 11 12; 183(4):918-934.e49.
    View in: PubMed
    Score: 0.139
  3. Friedman A, Merenlender A, Lax E, Rosenstein M, Lubin N, Yadid G. Early prediction of the effectiveness of antidepressants: inputs from an animal model. J Mol Neurosci. 2009 Sep; 39(1-2):256-61.
    View in: PubMed
    Score: 0.062
  4. Friedman A, Deri I, Friedman Y, Dremencov E, Goutkin S, Kravchinsky E, Mintz M, Levi D, Overstreet DH, Yadid G. Decoding of dopaminergic mesolimbic activity and depressive behavior. J Mol Neurosci. 2007; 32(1):72-9.
    View in: PubMed
    Score: 0.053
  5. Friedman A, Dremencov E, Crown H, Levy D, Mintz M, Overstreet DH, Yadid G. Variability of the mesolimbic neuronal activity in a rat model of depression. Neuroreport. 2005 Apr 04; 16(5):513-6.
    View in: PubMed
    Score: 0.047
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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